repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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lingua-py | lingua-py-main/lingua/_model.py | #
# Copyright © 2022-present Peter M. Stahl [email protected]
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 5,137 | 36.50365 | 88 | py |
lingua-py | lingua-py-main/lingua/language.py | #
# Copyright © 2022-present Peter M. Stahl [email protected]
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 14,230 | 30.694878 | 88 | py |
lingua-py | lingua-py-main/lingua/detector.py | #
# Copyright © 2022-present Peter M. Stahl [email protected]
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 27,116 | 35.301205 | 88 | py |
lingua-py | lingua-py-main/lingua/__init__.py | #
# Copyright © 2022-present Peter M. Stahl [email protected]
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 18,069 | 37.122363 | 154 | py |
lingua-py | lingua-py-main/lingua/builder.py | #
# Copyright © 2022-present Peter M. Stahl [email protected]
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 9,264 | 40.177778 | 94 | py |
taming-transformers | taming-transformers-master/main.py | import argparse, os, sys, datetime, glob, importlib
from omegaconf import OmegaConf
import numpy as np
from PIL import Image
import torch
import torchvision
from torch.utils.data import random_split, DataLoader, Dataset
import pytorch_lightning as pl
from pytorch_lightning import seed_everything
from pytorch_lightning.... | 21,251 | 35.266212 | 138 | py |
taming-transformers | taming-transformers-master/setup.py | from setuptools import setup, find_packages
setup(
name='taming-transformers',
version='0.0.1',
description='Taming Transformers for High-Resolution Image Synthesis',
packages=find_packages(),
install_requires=[
'torch',
'numpy',
'tqdm',
],
)
| 292 | 19.928571 | 74 | py |
taming-transformers | taming-transformers-master/scripts/extract_segmentation.py | import sys, os
import numpy as np
import scipy
import torch
import torch.nn as nn
from scipy import ndimage
from tqdm import tqdm, trange
from PIL import Image
import torch.hub
import torchvision
import torch.nn.functional as F
# download deeplabv2_resnet101_msc-cocostuff164k-100000.pth from
# https://github.com/kazut... | 3,753 | 27.656489 | 119 | py |
taming-transformers | taming-transformers-master/scripts/sample_conditional.py | import argparse, os, sys, glob, math, time
import torch
import numpy as np
from omegaconf import OmegaConf
import streamlit as st
from streamlit import caching
from PIL import Image
from main import instantiate_from_config, DataModuleFromConfig
from torch.utils.data import DataLoader
from torch.utils.data.dataloader im... | 12,535 | 34.213483 | 122 | py |
taming-transformers | taming-transformers-master/scripts/sample_fast.py | import argparse, os, sys, glob
import torch
import time
import numpy as np
from omegaconf import OmegaConf
from PIL import Image
from tqdm import tqdm, trange
from einops import repeat
from main import instantiate_from_config
from taming.modules.transformer.mingpt import sample_with_past
rescale = lambda x: (x + 1.)... | 9,191 | 34.218391 | 115 | py |
taming-transformers | taming-transformers-master/scripts/make_scene_samples.py | import glob
import os
import sys
from itertools import product
from pathlib import Path
from typing import Literal, List, Optional, Tuple
import numpy as np
import torch
from omegaconf import OmegaConf
from pytorch_lightning import seed_everything
from torch import Tensor
from torchvision.utils import save_image
from ... | 8,092 | 39.668342 | 120 | py |
taming-transformers | taming-transformers-master/scripts/extract_depth.py | import os
import torch
import numpy as np
from tqdm import trange
from PIL import Image
def get_state(gpu):
import torch
midas = torch.hub.load("intel-isl/MiDaS", "MiDaS")
if gpu:
midas.cuda()
midas.eval()
midas_transforms = torch.hub.load("intel-isl/MiDaS", "transforms")
transform = ... | 3,121 | 26.628319 | 91 | py |
taming-transformers | taming-transformers-master/scripts/extract_submodel.py | import torch
import sys
if __name__ == "__main__":
inpath = sys.argv[1]
outpath = sys.argv[2]
submodel = "cond_stage_model"
if len(sys.argv) > 3:
submodel = sys.argv[3]
print("Extracting {} from {} to {}.".format(submodel, inpath, outpath))
sd = torch.load(inpath, map_location="cpu")
... | 549 | 29.555556 | 75 | py |
taming-transformers | taming-transformers-master/scripts/make_samples.py | import argparse, os, sys, glob, math, time
import torch
import numpy as np
from omegaconf import OmegaConf
from PIL import Image
from main import instantiate_from_config, DataModuleFromConfig
from torch.utils.data import DataLoader
from torch.utils.data.dataloader import default_collate
from tqdm import trange
def sa... | 10,146 | 33.631399 | 102 | py |
taming-transformers | taming-transformers-master/taming/lr_scheduler.py | import numpy as np
class LambdaWarmUpCosineScheduler:
"""
note: use with a base_lr of 1.0
"""
def __init__(self, warm_up_steps, lr_min, lr_max, lr_start, max_decay_steps, verbosity_interval=0):
self.lr_warm_up_steps = warm_up_steps
self.lr_start = lr_start
self.lr_min = lr_min
... | 1,205 | 33.457143 | 114 | py |
taming-transformers | taming-transformers-master/taming/util.py | import os, hashlib
import requests
from tqdm import tqdm
URL_MAP = {
"vgg_lpips": "https://heibox.uni-heidelberg.de/f/607503859c864bc1b30b/?dl=1"
}
CKPT_MAP = {
"vgg_lpips": "vgg.pth"
}
MD5_MAP = {
"vgg_lpips": "d507d7349b931f0638a25a48a722f98a"
}
def download(url, local_path, chunk_size=1024):
os.... | 4,777 | 29.240506 | 85 | py |
taming-transformers | taming-transformers-master/taming/modules/util.py | import torch
import torch.nn as nn
def count_params(model):
total_params = sum(p.numel() for p in model.parameters())
return total_params
class ActNorm(nn.Module):
def __init__(self, num_features, logdet=False, affine=True,
allow_reverse_init=False):
assert affine
super(... | 3,847 | 28.374046 | 85 | py |
taming-transformers | taming-transformers-master/taming/modules/vqvae/quantize.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from torch import einsum
from einops import rearrange
class VectorQuantizer(nn.Module):
"""
see https://github.com/MishaLaskin/vqvae/blob/d761a999e2267766400dc646d82d3ac3657771d4/models/quantizer.py
_____________________... | 18,182 | 39.769058 | 110 | py |
taming-transformers | taming-transformers-master/taming/modules/discriminator/model.py | import functools
import torch.nn as nn
from taming.modules.util import ActNorm
def weights_init(m):
classname = m.__class__.__name__
if classname.find('Conv') != -1:
nn.init.normal_(m.weight.data, 0.0, 0.02)
elif classname.find('BatchNorm') != -1:
nn.init.normal_(m.weight.data, 1.0, 0.02... | 2,550 | 36.514706 | 116 | py |
taming-transformers | taming-transformers-master/taming/modules/misc/coord.py | import torch
class CoordStage(object):
def __init__(self, n_embed, down_factor):
self.n_embed = n_embed
self.down_factor = down_factor
def eval(self):
return self
def encode(self, c):
"""fake vqmodel interface"""
assert 0.0 <= c.min() and c.max() <= 1.0
b,c... | 904 | 27.28125 | 79 | py |
taming-transformers | taming-transformers-master/taming/modules/diffusionmodules/model.py | # pytorch_diffusion + derived encoder decoder
import math
import torch
import torch.nn as nn
import numpy as np
def get_timestep_embedding(timesteps, embedding_dim):
"""
This matches the implementation in Denoising Diffusion Probabilistic Models:
From Fairseq.
Build sinusoidal embeddings.
This mat... | 30,221 | 37.895753 | 121 | py |
taming-transformers | taming-transformers-master/taming/modules/transformer/mingpt.py | """
taken from: https://github.com/karpathy/minGPT/
GPT model:
- the initial stem consists of a combination of token encoding and a positional encoding
- the meat of it is a uniform sequence of Transformer blocks
- each Transformer is a sequential combination of a 1-hidden-layer MLP block and a self-attention block... | 16,836 | 39.473558 | 140 | py |
taming-transformers | taming-transformers-master/taming/modules/transformer/permuter.py | import torch
import torch.nn as nn
import numpy as np
class AbstractPermuter(nn.Module):
def __init__(self, *args, **kwargs):
super().__init__()
def forward(self, x, reverse=False):
raise NotImplementedError
class Identity(AbstractPermuter):
def __init__(self):
super().__init__()... | 7,093 | 27.48996 | 83 | py |
taming-transformers | taming-transformers-master/taming/modules/losses/lpips.py | """Stripped version of https://github.com/richzhang/PerceptualSimilarity/tree/master/models"""
import torch
import torch.nn as nn
from torchvision import models
from collections import namedtuple
from taming.util import get_ckpt_path
class LPIPS(nn.Module):
# Learned perceptual metric
def __init__(self, use... | 4,832 | 37.975806 | 104 | py |
taming-transformers | taming-transformers-master/taming/modules/losses/segmentation.py | import torch.nn as nn
import torch.nn.functional as F
class BCELoss(nn.Module):
def forward(self, prediction, target):
loss = F.binary_cross_entropy_with_logits(prediction,target)
return loss, {}
class BCELossWithQuant(nn.Module):
def __init__(self, codebook_weight=1.):
super().__ini... | 816 | 34.521739 | 82 | py |
taming-transformers | taming-transformers-master/taming/modules/losses/vqperceptual.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from taming.modules.losses.lpips import LPIPS
from taming.modules.discriminator.model import NLayerDiscriminator, weights_init
class DummyLoss(nn.Module):
def __init__(self):
super().__init__()
def adopt_weight(weight, global_step, thre... | 6,179 | 44.109489 | 113 | py |
taming-transformers | taming-transformers-master/taming/modules/losses/__init__.py | from taming.modules.losses.vqperceptual import DummyLoss
| 58 | 18.666667 | 56 | py |
taming-transformers | taming-transformers-master/taming/models/dummy_cond_stage.py | from torch import Tensor
class DummyCondStage:
def __init__(self, conditional_key):
self.conditional_key = conditional_key
self.train = None
def eval(self):
return self
@staticmethod
def encode(c: Tensor):
return c, None, (None, None, c)
@staticmethod
def dec... | 416 | 17.130435 | 46 | py |
taming-transformers | taming-transformers-master/taming/models/vqgan.py | import torch
import torch.nn.functional as F
import pytorch_lightning as pl
from main import instantiate_from_config
from taming.modules.diffusionmodules.model import Encoder, Decoder
from taming.modules.vqvae.quantize import VectorQuantizer2 as VectorQuantizer
from taming.modules.vqvae.quantize import GumbelQuantize... | 16,760 | 40.487624 | 120 | py |
taming-transformers | taming-transformers-master/taming/models/cond_transformer.py | import os, math
import torch
import torch.nn.functional as F
import pytorch_lightning as pl
from main import instantiate_from_config
from taming.modules.util import SOSProvider
def disabled_train(self, mode=True):
"""Overwrite model.train with this function to make sure train/eval mode
does not change anymor... | 15,648 | 43.331445 | 127 | py |
taming-transformers | taming-transformers-master/taming/data/annotated_objects_coco.py | import json
from itertools import chain
from pathlib import Path
from typing import Iterable, Dict, List, Callable, Any
from collections import defaultdict
from tqdm import tqdm
from taming.data.annotated_objects_dataset import AnnotatedObjectsDataset
from taming.data.helper_types import Annotation, ImageDescription,... | 5,729 | 39.928571 | 119 | py |
taming-transformers | taming-transformers-master/taming/data/custom.py | import os
import numpy as np
import albumentations
from torch.utils.data import Dataset
from taming.data.base import ImagePaths, NumpyPaths, ConcatDatasetWithIndex
class CustomBase(Dataset):
def __init__(self, *args, **kwargs):
super().__init__()
self.data = None
def __len__(self):
r... | 998 | 24.615385 | 75 | py |
taming-transformers | taming-transformers-master/taming/data/base.py | import bisect
import numpy as np
import albumentations
from PIL import Image
from torch.utils.data import Dataset, ConcatDataset
class ConcatDatasetWithIndex(ConcatDataset):
"""Modified from original pytorch code to return dataset idx"""
def __getitem__(self, idx):
if idx < 0:
if -idx > le... | 2,609 | 35.760563 | 92 | py |
taming-transformers | taming-transformers-master/taming/data/helper_types.py | from typing import Dict, Tuple, Optional, NamedTuple, Union
from PIL.Image import Image as pil_image
from torch import Tensor
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
Image = Union[Tensor, pil_image]
BoundingBox = Tuple[float, float, float, float] # x0, y0, w, h
C... | 1,350 | 26.02 | 65 | py |
taming-transformers | taming-transformers-master/taming/data/open_images_helper.py | open_images_unify_categories_for_coco = {
'/m/03bt1vf': '/m/01g317',
'/m/04yx4': '/m/01g317',
'/m/05r655': '/m/01g317',
'/m/01bl7v': '/m/01g317',
'/m/0cnyhnx': '/m/01xq0k1',
'/m/01226z': '/m/018xm',
'/m/05ctyq': '/m/018xm',
'/m/058qzx': '/m/04ctx',
'/m/06pcq': '/m/0l515',
'/m/03m... | 8,930 | 22.502632 | 43 | py |
taming-transformers | taming-transformers-master/taming/data/ade20k.py | import os
import numpy as np
import cv2
import albumentations
from PIL import Image
from torch.utils.data import Dataset
from taming.data.sflckr import SegmentationBase # for examples included in repo
class Examples(SegmentationBase):
def __init__(self, size=256, random_crop=False, interpolation="bicubic"):
... | 5,378 | 42.032 | 107 | py |
taming-transformers | taming-transformers-master/taming/data/utils.py | import collections
import os
import tarfile
import urllib
import zipfile
from pathlib import Path
import numpy as np
import torch
from taming.data.helper_types import Annotation
from torch._six import string_classes
from torch.utils.data._utils.collate import np_str_obj_array_pattern, default_collate_err_msg_format
fr... | 5,903 | 33.729412 | 100 | py |
taming-transformers | taming-transformers-master/taming/data/faceshq.py | import os
import numpy as np
import albumentations
from torch.utils.data import Dataset
from taming.data.base import ImagePaths, NumpyPaths, ConcatDatasetWithIndex
class FacesBase(Dataset):
def __init__(self, *args, **kwargs):
super().__init__()
self.data = None
self.keys = None
def ... | 4,640 | 33.377778 | 92 | py |
taming-transformers | taming-transformers-master/taming/data/annotated_objects_open_images.py | from collections import defaultdict
from csv import DictReader, reader as TupleReader
from pathlib import Path
from typing import Dict, List, Any
import warnings
from taming.data.annotated_objects_dataset import AnnotatedObjectsDataset
from taming.data.helper_types import Annotation, Category
from tqdm import tqdm
OP... | 6,107 | 43.26087 | 115 | py |
taming-transformers | taming-transformers-master/taming/data/annotated_objects_dataset.py | from pathlib import Path
from typing import Optional, List, Callable, Dict, Any, Union
import warnings
import PIL.Image as pil_image
from torch import Tensor
from torch.utils.data import Dataset
from torchvision import transforms
from taming.data.conditional_builder.objects_bbox import ObjectsBoundingBoxConditionalBu... | 10,226 | 45.69863 | 122 | py |
taming-transformers | taming-transformers-master/taming/data/sflckr.py | import os
import numpy as np
import cv2
import albumentations
from PIL import Image
from torch.utils.data import Dataset
class SegmentationBase(Dataset):
def __init__(self,
data_csv, data_root, segmentation_root,
size=None, random_crop=False, interpolation="bicubic",
... | 4,097 | 43.543478 | 104 | py |
taming-transformers | taming-transformers-master/taming/data/imagenet.py | import os, tarfile, glob, shutil
import yaml
import numpy as np
from tqdm import tqdm
from PIL import Image
import albumentations
from omegaconf import OmegaConf
from torch.utils.data import Dataset
from taming.data.base import ImagePaths
from taming.util import download, retrieve
import taming.data.utils as bdu
def... | 20,815 | 36.237925 | 112 | py |
taming-transformers | taming-transformers-master/taming/data/coco.py | import os
import json
import albumentations
import numpy as np
from PIL import Image
from tqdm import tqdm
from torch.utils.data import Dataset
from taming.data.sflckr import SegmentationBase # for examples included in repo
class Examples(SegmentationBase):
def __init__(self, size=256, random_crop=False, interpo... | 8,121 | 44.887006 | 115 | py |
taming-transformers | taming-transformers-master/taming/data/image_transforms.py | import random
import warnings
from typing import Union
import torch
from torch import Tensor
from torchvision.transforms import RandomCrop, functional as F, CenterCrop, RandomHorizontalFlip, PILToTensor
from torchvision.transforms.functional import _get_image_size as get_image_size
from taming.data.helper_types impor... | 4,511 | 32.924812 | 109 | py |
taming-transformers | taming-transformers-master/taming/data/conditional_builder/objects_center_points.py | import math
import random
import warnings
from itertools import cycle
from typing import List, Optional, Tuple, Callable
from PIL import Image as pil_image, ImageDraw as pil_img_draw, ImageFont
from more_itertools.recipes import grouper
from taming.data.conditional_builder.utils import COLOR_PALETTE, WHITE, GRAY_75, B... | 8,165 | 47.319527 | 120 | py |
taming-transformers | taming-transformers-master/taming/data/conditional_builder/objects_bbox.py | from itertools import cycle
from typing import List, Tuple, Callable, Optional
from PIL import Image as pil_image, ImageDraw as pil_img_draw, ImageFont
from more_itertools.recipes import grouper
from taming.data.image_transforms import convert_pil_to_tensor
from torch import LongTensor, Tensor
from taming.data.helper... | 3,223 | 51.852459 | 120 | py |
taming-transformers | taming-transformers-master/taming/data/conditional_builder/utils.py | import importlib
from typing import List, Any, Tuple, Optional
from taming.data.helper_types import BoundingBox, Annotation
# source: seaborn, color palette tab10
COLOR_PALETTE = [(30, 118, 179), (255, 126, 13), (43, 159, 43), (213, 38, 39), (147, 102, 188),
(139, 85, 74), (226, 118, 193), (126, 126,... | 3,963 | 36.396226 | 113 | py |
Fanoos | Fanoos-master/fanoos.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 5,548 | 73.986486 | 2,785 | py |
Fanoos | Fanoos-master/run_drawBoxes.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 4,101 | 92.227273 | 2,781 | py |
Fanoos | Fanoos-master/__init__.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 1,154 | 28.615385 | 165 | py |
Fanoos | Fanoos-master/handleDisplayOfCopyrightDuringInteractions.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 1,845 | 30.288136 | 165 | py |
Fanoos | Fanoos-master/config/debugFlags.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 2,550 | 34.929577 | 165 | py |
Fanoos | Fanoos-master/config/randomSeedSetting.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 5,165 | 69.767123 | 2,791 | py |
Fanoos | Fanoos-master/config/__init__.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 1,341 | 32.55 | 165 | py |
Fanoos | Fanoos-master/config/defaultValues.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 5,051 | 94.320755 | 2,783 | py |
Fanoos | Fanoos-master/trainedNetworks/invertedDoublePendulumBulletEnv_v0/convertInvertedPendulumNetworkToAlternateFormat.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 17,040 | 73.414847 | 2,792 | py |
Fanoos | Fanoos-master/trainedNetworks/modelForTesting/formModelForTesting_twoDimInput_threeDimOutput_identityFunctionAndAddition.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 4,182 | 29.311594 | 165 | py |
Fanoos | Fanoos-master/trainedNetworks/modelForTesting/formModelForTesting_oneDimInput_oneDimOutput_identityFunction.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 3,776 | 31.282051 | 165 | py |
Fanoos | Fanoos-master/trainedNetworks/cpuPolynomialRegressionModel/polynomialRegressionTrial.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 16,913 | 66.386454 | 2,810 | py |
Fanoos | Fanoos-master/UI/fanoosFrontend.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 18,586 | 54.98494 | 2,902 | py |
Fanoos | Fanoos-master/UI/genericUIFunctions.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 8,130 | 57.496403 | 2,793 | py |
Fanoos | Fanoos-master/UI/captureTerminalOutput.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 6,706 | 67.438776 | 2,819 | py |
Fanoos | Fanoos-master/UI/commandLineAutocompleter.py | import os
import re
import readline
# This code largely copied from https://stackoverflow.com/questions/5637124/tab-completion-in-pythons-raw-input
RE_SPACE = re.compile('.*\s+$', re.M)
class Completer(object):
def _listdir(self, root):
"List directory 'root' appending the path separator to subdirs."
... | 5,353 | 72.342466 | 2,781 | py |
Fanoos | Fanoos-master/UI/cycleToRespondToUserQuestion.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 11,975 | 59.180905 | 2,832 | py |
Fanoos | Fanoos-master/UI/__init__.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 1,154 | 28.615385 | 165 | py |
Fanoos | Fanoos-master/boxesAndBoxOperations/codeForGettingSamplesBetweenBoxes.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 7,588 | 63.313559 | 2,785 | py |
Fanoos | Fanoos-master/boxesAndBoxOperations/mergeBoxes.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 23,515 | 54.857482 | 2,906 | py |
Fanoos | Fanoos-master/boxesAndBoxOperations/readAndWriteBoxes.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 8,517 | 52.2375 | 2,803 | py |
Fanoos | Fanoos-master/boxesAndBoxOperations/splitBox.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 12,391 | 56.637209 | 2,829 | py |
Fanoos | Fanoos-master/boxesAndBoxOperations/CEGARFileWrittingManager.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 10,336 | 53.405263 | 2,843 | py |
Fanoos | Fanoos-master/boxesAndBoxOperations/__init__.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 1,154 | 28.615385 | 165 | py |
Fanoos | Fanoos-master/boxesAndBoxOperations/getBox.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 8,786 | 52.254545 | 2,860 | py |
Fanoos | Fanoos-master/collectingResults/drawBoxes.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 10,698 | 55.909574 | 2,781 | py |
Fanoos | Fanoos-master/descriptionGeneration/removePredicatesImpliedByOthers.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 7,447 | 43.86747 | 165 | py |
Fanoos | Fanoos-master/descriptionGeneration/generateDescription.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 31,769 | 63.836735 | 2,874 | py |
Fanoos | Fanoos-master/descriptionGeneration/__init__.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 1,154 | 28.615385 | 165 | py |
Fanoos | Fanoos-master/descriptionGeneration/draftCodeForMulitVariantConditionLearning.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 11,996 | 64.201087 | 2,844 | py |
Fanoos | Fanoos-master/domainsAndConditions/classesDefiningQuestions.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 34,638 | 57.610829 | 2,861 | py |
Fanoos | Fanoos-master/domainsAndConditions/domainAndConditionsFor_modelForTesting_twoDimInput_threeDimOutput.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 125,482 | 69.338004 | 181 | py |
Fanoos | Fanoos-master/domainsAndConditions/baseClassDomainInformation.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 11,569 | 61.880435 | 2,890 | py |
Fanoos | Fanoos-master/domainsAndConditions/utilsForDefiningPredicates.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 10,532 | 47.763889 | 2,823 | py |
Fanoos | Fanoos-master/domainsAndConditions/baseClassConditionsToSpecifyPredictsWith.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 20,532 | 57.498575 | 2,897 | py |
Fanoos | Fanoos-master/domainsAndConditions/domainAndConditionsForCPUUse.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 26,329 | 61.840095 | 2,861 | py |
Fanoos | Fanoos-master/domainsAndConditions/domainAndConditionsFor_modelForTesting_oneDimInput_oneDimOutput.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 41,105 | 53.954545 | 179 | py |
Fanoos | Fanoos-master/domainsAndConditions/__init__.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 1,154 | 28.615385 | 165 | py |
Fanoos | Fanoos-master/domainsAndConditions/domainAndConditionsForInvertedDoublePendulum.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 59,947 | 55.715232 | 2,849 | py |
Fanoos | Fanoos-master/domainsAndConditions/domainAndConditionsForCircleFollowing.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 16,568 | 44.770718 | 165 | py |
Fanoos | Fanoos-master/propagateBoxThroughLearnedSystem/inputBoxToActivationFunctionOutputContainingInterval.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 5,794 | 72.35443 | 2,787 | py |
Fanoos | Fanoos-master/propagateBoxThroughLearnedSystem/inputBoxToNetwork.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 7,887 | 68.192982 | 2,787 | py |
Fanoos | Fanoos-master/propagateBoxThroughLearnedSystem/classesToPropogateBoxThroughModels.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 6,192 | 62.193878 | 2,791 | py |
Fanoos | Fanoos-master/propagateBoxThroughLearnedSystem/propogateValuesThroughRegression.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 7,219 | 62.893805 | 2,787 | py |
Fanoos | Fanoos-master/propagateBoxThroughLearnedSystem/__init__.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 1,154 | 28.615385 | 165 | py |
Fanoos | Fanoos-master/statesAndOperatorsAndSelection/descriptionOperator.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 49,775 | 51.340694 | 2,781 | py |
Fanoos | Fanoos-master/statesAndOperatorsAndSelection/chooseOperatorToApply.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 11,494 | 59.183246 | 2,781 | py |
Fanoos | Fanoos-master/statesAndOperatorsAndSelection/__init__.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 1,154 | 28.615385 | 165 | py |
Fanoos | Fanoos-master/statesAndOperatorsAndSelection/descriptionState.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 19,758 | 54.659155 | 2,781 | py |
Fanoos | Fanoos-master/statesAndOperatorsAndSelection/automaticOperatorSelection/operationSelectionManagers.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 7,336 | 32.35 | 165 | py |
Fanoos | Fanoos-master/statesAndOperatorsAndSelection/automaticOperatorSelection/__init__.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 1,154 | 28.615385 | 165 | py |
Fanoos | Fanoos-master/databaseInterface/databaseValueTracker.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 5,424 | 65.158537 | 2,785 | py |
Fanoos | Fanoos-master/databaseInterface/databaseIOManager.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 8,345 | 48.094118 | 2,791 | py |
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