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
value |
|---|---|---|---|---|---|---|
api | api-master/api/Parameters.py | from collections import defaultdict
from Helpers import *
import requests
import json
import time
def process(params,q):
nested_dict = lambda: defaultdict(nested_dict)
params = {k.lower(): v for k, v in params.items()} # Lowercase all parameter names passed
suggested_sort = "desc";
conditions = ["subr... | 5,197 | 43.050847 | 112 | py |
api | api-master/api/api.py | #!/usr/bin/env python3
import falcon
import json
import requests
import time
import html
import DBFunctions
import psycopg2
import math
import redis
from pprint import pprint
from inspect import getmembers
from collections import defaultdict
import Submission
import Comment
import User
import Parameters
from Helpers i... | 916 | 25.970588 | 91 | py |
api | api-master/api/Comment.py | import time
import html
from collections import defaultdict
import Parameters
from Helpers import *
import DBFunctions
class search:
params = None
def on_get(self, req, resp):
start = time.time()
q = req.get_param('q');
self.params = req.params
if 'ids' in self.params:
... | 9,637 | 46.245098 | 135 | py |
api | api-master/api/Submission.py | import time
import html
from collections import defaultdict
import Parameters
from Helpers import *
class search:
params = None
def on_get(self, req, resp):
self.start = time.time()
q = req.get_param('q');
self.params = req.params
if 'ids' in self.params:
data = se... | 12,362 | 48.25498 | 180 | py |
api | api-master/api/User.py | import time
import html
from collections import defaultdict
import Parameters
from Helpers import *
class Analyze:
def on_get(self, req, resp, author):
start = time.time()
params = req.params
searchURL = 'http://mars:9200/rc/comments/_search'
nested_dict = lambda: defaultdict(neste... | 2,039 | 34.172414 | 87 | py |
AACVP-MVSNet | AACVP-MVSNet-main/train_AACVPMVSNet.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/8/3 0016 11:52
# @Author : Anzhu Yu
# @Site :
# @File : train_AACVPMVSNet.py
# @Software: PyCharm
# some packages used in this project
from argsParser import getArgsParser, checkArgs
import os
import logging
import torch
import torch.nn as nn
impo... | 7,685 | 33.466368 | 119 | py |
AACVP-MVSNet | AACVP-MVSNet-main/eval_AACVPMVSNet.py | # Evaluate AACVP-MVSNet
# Modified by: Bing Liu
import os, sys, time, logging, argparse, datetime, re
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
from torch.utils.data import DataLoader
from datasets import dtu_loader
from models import ... | 16,769 | 38.833729 | 120 | py |
AACVP-MVSNet | AACVP-MVSNet-main/utils.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/6/28 0028 11:55
# @Author : Anzhu Yu
# @Site :
# @File : utils.py
# @Software: PyCharm
import numpy as np
import torchvision.utils as vutils
import torch
import torch.nn.functional as F
# print arguments
def print_args(args):
print("########... | 5,284 | 31.623457 | 103 | py |
AACVP-MVSNet | AACVP-MVSNet-main/argsParser.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/6/29 0028 11:52
# @Author : Anzhu Yu (Modified). The original
# @Site :
# @File : train.py
# @Software: PyCharm
import argparse
def getArgsParser():
parser = argparse.ArgumentParser(description='AACVP-MVSNet. Thanks J.Yang and X.Guo for shari... | 3,731 | 56.415385 | 135 | py |
AACVP-MVSNet | AACVP-MVSNet-main/fusion/fusibile_to_dtu_eval.py | # Convert output of fusibile to DTU evaluation format.
# Author: Jiayu Yang
# Modified by B. Liu
import os
from os import listdir
fusibile_out_folder="../outputs/fusibile_fused/"
dtu_eval_folder="../outputs/"
if not os.path.isdir(dtu_eval_folder):
os.mkdir(dtu_eval_folder)
# Read test list
testlist = "./scan_li... | 998 | 28.382353 | 91 | py |
AACVP-MVSNet | AACVP-MVSNet-main/fusion/depthfusion.py | # Modified version of the original depthfusion.py from Yao Yao.
# Convert our output to Gipuma format for post-processing.
# By: Jiayu Yang
# Date: 2019-11-05
from __future__ import print_function
import argparse
import os
import time
import glob
import random
import math
import re
import sys
import shutil
from stru... | 8,459 | 33.390244 | 125 | py |
AACVP-MVSNet | AACVP-MVSNet-main/fusion/preprocess.py | #!/usr/bin/env python
"""
Copyright 2019, Yao Yao, HKUST.
Training preprocesses.
"""
from __future__ import print_function
import os
import time
import glob
import random
import math
import re
import sys
import cv2
import numpy as np
import tensorflow as tf
import scipy.io
import urllib
from tensorflow.python.lib.io... | 17,048 | 37.572398 | 122 | py |
AACVP-MVSNet | AACVP-MVSNet-main/models/Module.py | # -*- coding: utf-8 -*-
# @Time : 2020/6/18 0018 20:57
# @Author : Anzhu Yu
# @Site :
# @File : module.py
# @Software: PyCharm
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.init as init
def homo_warping(src_feature, ref_in, src_in, ref_ex, src_ex, depth_hypos):
# Ap... | 16,022 | 44.649573 | 133 | py |
AACVP-MVSNet | AACVP-MVSNet-main/models/__init__.py | # encoding:UTF-8
from models.AACVPMVSNet import sL1_loss,MSE_loss, AACVPMVSNet
| 79 | 25.666667 | 61 | py |
AACVP-MVSNet | AACVP-MVSNet-main/models/AACVPMVSNet.py | # -*- coding: utf-8 -*-
# @Time : 2020/6/18 0018 20:57
# @Author : Anzhu Yu
# @Site :
# @File : AACVPMVSNet.py
# @Software: PyCharm
import torch
import torch.nn as nn
import torch.nn.functional as F
from .Module import *
class ConvBnReLU3D(nn.Module):
"""ConvBnReLU3D
3D CNN Blocks with batchnorm a... | 8,747 | 45.042105 | 119 | py |
AACVP-MVSNet | AACVP-MVSNet-main/datasets/utils.py | # Data io utilities for the dataloader
# by: Jiayu Yang
# date: 2019-07-31
# Note: This file use part of the code from the following projects.
# Thanks for the authors for the great code.
# MVSNet: https://github.com/YoYo000/MVSNet
# MVSNet_pytorch: https://github.com/xy-guo/MVSNet_pytorch
import nu... | 4,744 | 28.47205 | 96 | py |
AACVP-MVSNet | AACVP-MVSNet-main/datasets/dtu_loader.py | # Dataloader for the DTU dataset in Yaoyao's format.
# by: Jiayu Yang
# date: 2020-01-28
# Note: This file use part of the code from the following projects.
# Thanks for the authors for the great code.
# MVSNet: https://github.com/YoYo000/MVSNet
# MVSNet_pytorch: https://github.com/xy-guo/MVSNet_pyto... | 6,228 | 38.176101 | 145 | py |
AACVP-MVSNet | AACVP-MVSNet-main/datasets/data_io.py | import numpy as np
import re
import sys
def read_pfm(filename):
file = open(filename, 'rb')
color = None
width = None
height = None
scale = None
endian = None
header = file.readline().decode('utf-8').rstrip()
if header == 'PF':
color = True
elif header == 'Pf':
col... | 1,867 | 24.944444 | 93 | py |
AACVP-MVSNet | AACVP-MVSNet-main/datasets/dataPaths.py | # Fetching file path and name for dataloader on our DTU dataset.
# by: Jiayu Yang
# date: 2019-08-01
import os
# DTU:
# 2020-01-31 14:20:42: Modified to read original yao's format.
def getScanListFile(data_root,mode):
scan_list_file = data_root+"scan_list_"+mode+".txt"
return scan_list_file
def getPairListF... | 1,243 | 29.341463 | 73 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/setup.py | from setuptools import setup, find_packages
setup(name='rocoboom_out', version='1.0', packages=find_packages())
| 113 | 27.5 | 67 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/__init__.py | 0 | 0 | 0 | py | |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/ss_tools.py | import sys
import numpy as np
import numpy.linalg as la
from numpy.linalg import pinv
import cvxpy as cvx
import control
from utility.matrixmath import solveb, mat, vec
def groupdot(A, x):
"""
Perform dot product over groups of matrices,
suitable for performing many LTI state transitions in a vectorized... | 5,376 | 31.587879 | 160 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/sim.py | import numpy as np
import numpy.random as npr
from rocoboom_out.common.signal_gen import SigParam, make_sig
from rocoboom_out.common.ss_tools import groupdot
def make_exploration(m, Ns, T, u_explore_var):
"""
Generate exploration control signal
:param m: Number of inputs
:param Ns: Number of Monte C... | 5,328 | 30.720238 | 169 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/plotting.py | """
Plotting functions
"""
from copy import copy
from warnings import warn
from time import sleep
import os
import numpy as np
import numpy.linalg as la
from scipy.stats import trim_mean
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from matplotlib.ticker import FormatStrFormatter
from matplo... | 19,174 | 43.182028 | 135 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/uncertainty.py | from time import time
import numpy as np
import numpy.linalg as la
import numpy.random as npr
from utility.matrixmath import mdot
from utility.printing import create_tag
from rocoboom_out.common.sysid import system_identification
from rocoboom_out.common.ss_tools import ss_change_coordinates, groupdot
class Uncert... | 9,291 | 34.601533 | 128 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/problem_data_gen.py | """
Problem data generation.
Generic outputs are:
:param n: Number of states, integer
:param m: Number of inputs, integer
:param p: Number of outputs, integer
:param A: System state matrix, n x n matrix
:param B: System control input matrix, n x m matrix
:param C: System output matrix, p x n matrix
:param Q: State-depe... | 5,967 | 31.434783 | 115 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/gdare.py | # Combined estimator and controller design for multiplicative noise LQG
import numpy as np
import numpy.linalg as la
import numpy.random as npr
import matplotlib.pyplot as plt
from utility.matrixmath import specrad, vec, mat
def mat_diff(X, Y):
return la.norm(X-Y, ord=2, axis=(1, 2))
def rand_psd(d, s=None):
... | 19,716 | 33.290435 | 120 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/misc.py | def get_entry(arr, i, j, p, m):
# Helper function to deal with array indexing
# arr is the array e.g. fig, arr = plt.subplots(nrows=p, ncols=m)
# i, j are the row, column index
# p, m are the number of rows, columns respectively
if p > 1:
if m > 1:
ax = arr[i, j]
else:
... | 442 | 26.6875 | 69 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/sysid.py | # Copied & modified from the files
# SIPPY/sippy/__init__.py
# SIPPY/sippy/OLSims_methods.py
# in the SIPPY package
import sys
import numpy as np
from sippy.OLSims_methods import SS_model, check_types, check_inputs, extracting_matrices, forcing_A_stability, \
SVD_weighted, algorithm_1, SS_lsim_process_form
from ... | 4,473 | 36.915254 | 122 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/config.py | import os
this_dir, this_filename = os.path.split(__file__)
EXPERIMENT_FOLDER = os.path.join(this_dir, '..', 'experiments')
| 126 | 20.166667 | 63 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/compensator_design.py | """
Functions for linear dynamic compensator design.
"""
from time import time
from dataclasses import dataclass
import numpy as np
from utility.matrixmath import mdot, specrad, minsv, lstsqb, dlyap, dare, dare_gain
from utility.printing import create_tag
from rocoboom_out.common.gdare import value_iteration, gain
... | 6,203 | 32.354839 | 119 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/__init__.py | 0 | 0 | 0 | py | |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/signal_gen.py | from dataclasses import dataclass, field
import numpy as np
import numpy.random as npr
from SIPPY.sippy import functionset as fset
@dataclass
class SigParam:
method: str
mean: float = None
scale: float = 1.0
ma_length: int = None
options: dict = field(default_factory=dict)
def moving_average(x,... | 2,603 | 28.590909 | 82 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/compensator_eval.py | """
Functions for linear dynamic compensator evaluation.
"""
from dataclasses import dataclass
import numpy as np
from utility.matrixmath import mdot, specrad, minsv, solveb, lstsqb, dlyap, dare, dare_gain
from rocoboom_out.common.compensator_design import aug_sysmat_cl
def specrad_cl(A, B, C, F, K, L):
Phi ... | 1,591 | 28.481481 | 91 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/monte_carlo_loader.py | """
Robust adaptive control via multiplicative noise from bootstrapped uncertainty estimates.
"""
# Authors: Ben Gravell and Tyler Summers
import os
from copy import copy
import numpy as np
import matplotlib.pyplot as plt
from utility.pickle_io import pickle_import
from rocoboom_out.common.config import EXPERIMENT_... | 6,271 | 37.012121 | 153 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/single.py | from dataclasses import dataclass
import numpy as np
import numpy.random as npr
import scipy as sc
import numpy.linalg as la
import scipy.linalg as sla
import matplotlib.pyplot as plt
import control
from utility.lti import ctrb, obsv
from utility.printing import create_tag
from rocoboom_out.common.problem_data_gen ... | 17,018 | 40.408759 | 140 | py |
robust-adaptive-control-multinoise-output | robust-adaptive-control-multinoise-output-main/rocoboom_out/common/monte_carlo.py | """
Robust adaptive control from output measurements via multiplicative noise from bootstrapped uncertainty estimates.
"""
import argparse
from time import time
import os
import multiprocessing as mp
import numpy as np
import numpy.linalg as la
import numpy.random as npr
import matplotlib.pyplot as plt
from utility.... | 28,139 | 39.257511 | 157 | py |
Colless | Colless-master/python/colless.py | from functools import lru_cache
from biotrees.util import unique
from biotrees.shape import Shape
from biotrees.shape.generator import comb
def binary(n):
"""
Returns the binary representation of an `int` n in `String`.
:param n: `int` instance.
:return: `String` instance.
"""
return "{0:b}".... | 3,334 | 25.259843 | 98 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/config/parse_args.py | import configargparse
def str2bool(v):
""" from https://stackoverflow.com/a/43357954/1361529 """
if isinstance(v, bool):
return v
if v.lower() in ('yes', 'true', 't', 'y', '1'):
return True
elif v.lower() in ('no', 'false', 'f', 'n', '0'):
return False
else:
raise co... | 2,717 | 38.391304 | 93 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/train_feature_extractor.py | import time
import sys
from data_loader.h36m_loader import Human36M
[sys.path.append(i) for i in ['.', '..']]
from torch import optim
import torch.nn.functional as F
import matplotlib
from model.embedding_net import EmbeddingNet
from train_eval.train_joint_embed import eval_embed
from utils.average_meter import Ave... | 8,374 | 34.189076 | 120 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/synthesize.py | import datetime
import logging
import math
import os
import pickle
import random
import sys
import librosa
import soundfile as sf
import lmdb
import numpy as np
import time
import pyarrow
import torch
from torch.utils.data import DataLoader
import utils
from data_loader.lmdb_data_loader import SpeechMotionDataset, d... | 18,129 | 40.0181 | 133 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/train.py | import pprint
import time
from pathlib import Path
import sys
[sys.path.append(i) for i in ['.', '..']]
import matplotlib
import torch.nn.functional as F
from torch.utils.tensorboard import SummaryWriter
from model import speech2gesture, vocab
from model.embedding_net import EmbeddingNet
from model.seq2seq_net impor... | 23,232 | 45.005941 | 120 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/data_loader/motion_preprocessor.py | import numpy as np
class MotionPreprocessor:
def __init__(self, skeletons, mean_pose):
self.skeletons = np.array(skeletons)
self.mean_pose = np.array(mean_pose).reshape(-1, 3)
self.filtering_message = "PASS"
def get(self):
assert (self.skeletons is not None)
# filteri... | 3,196 | 35.329545 | 113 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/data_loader/data_preprocessor.py | """ create data samples """
import logging
from collections import defaultdict
import lmdb
import math
import numpy as np
import pyarrow
import tqdm
from sklearn.preprocessing import normalize
import utils.data_utils
from data_loader.motion_preprocessor import MotionPreprocessor
class DataPreprocessor:
def __in... | 9,499 | 42.981481 | 144 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/data_loader/calculate_motion_stats.py | import os
import lmdb
import numpy as np
import pyarrow
import utils.train_utils
import utils.data_utils
def calculate_data_mean(base_path):
lmdb_path = os.path.join(base_path, 'lmdb_train')
lmdb_env = lmdb.open(lmdb_path, readonly=True, lock=False)
with lmdb_env.begin() as txn:
n_videos = txn.st... | 1,748 | 28.644068 | 84 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/data_loader/h36m_loader.py | import math
import random
import torch
import numpy as np
from torch.utils.data import Dataset
from utils.data_utils import convert_pose_seq_to_dir_vec, convert_dir_vec_to_pose
train_subject = ['S1', 'S5', 'S6', 'S7', 'S8', 'S9', 'S11']
test_subject = ['S11']
class Human36M(Dataset):
def __init__(self, path, m... | 3,853 | 34.685185 | 134 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/data_loader/lmdb_data_loader.py | import datetime
import logging
import os
import pickle
import random
import numpy as np
import lmdb as lmdb
import torch
from torch.nn.utils.rnn import pad_sequence
from torch.utils.data import Dataset, DataLoader
from torch.utils.data.dataloader import default_collate
import utils.train_utils
import utils.data_util... | 8,022 | 39.933673 | 109 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/train_eval/train_speech2gesture.py | import torch
import torch.nn.functional as F
def train_iter_speech2gesture(args, in_spec, target_poses, pose_decoder, discriminator,
pose_dec_optim, dis_optim, loss_fn):
# generation
pre_poses = target_poses[:, 0:args.n_pre_poses]
out_poses = pose_decoder(in_spec, pre_poses)
... | 1,430 | 36.657895 | 114 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/train_eval/train_joint_embed.py | import torch
import torch.nn.functional as F
def train_iter_embed(args, epoch, in_text, in_audio, target_data, net, optim, mode=None):
pre_seq = target_data[:, 0:args.n_pre_poses]
# zero gradients
optim.zero_grad()
if mode == 'random': # joint embed model
variational_encoding = False # AE
... | 2,191 | 33.793651 | 101 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/train_eval/train_gan.py | import random
import numpy as np
import torch
import torch.nn.functional as F
def add_noise(data):
noise = torch.randn_like(data) * 0.1
return data + noise
def train_iter_gan(args, epoch, in_text, in_audio, target_poses, vid_indices,
pose_decoder, discriminator,
pose_d... | 4,074 | 37.809524 | 121 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/train_eval/train_seq2seq.py | import logging
import torch
import torch.nn.functional as F
loss_i = 0
def custom_loss(output, target, args, epoch):
n_element = output.numel()
# mae
mse_loss = F.mse_loss(output, target)
mse_loss *= args.loss_regression_weight
# continuous motion
diff = [abs(output[:, n, :] - output[:, n-1, ... | 1,354 | 25.057692 | 88 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/utils/tts_helper.py | import datetime
import os
import time
from google.cloud import texttospeech
from pygame import mixer
class TTSHelper:
""" helper class for google TTS
set the environment variable GOOGLE_APPLICATION_CREDENTIALS first
GOOGLE_APPLICATION_CREDENTIALS = 'path to json key file'
"""
cache_folder = './c... | 3,522 | 32.552381 | 115 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/utils/average_meter.py |
class AverageMeter(object):
"""Computes and stores the average and current value"""
def __init__(self, name, fmt=':f'):
self.name = name
self.fmt = fmt
self.reset()
def reset(self):
self.val = 0
self.avg = 0
self.sum = 0
self.count = 0
def updat... | 597 | 23.916667 | 71 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/utils/data_utils.py | import re
import librosa
import numpy as np
import torch
from scipy.interpolate import interp1d
from sklearn.preprocessing import normalize
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
skeleton_line_pairs = [(0, 1, 'b'), (1, 2, 'darkred'), (2, 3, 'r'), (3, 4, 'orange'), (1, 5, 'darkgreen'... | 4,295 | 34.504132 | 106 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/utils/vocab_utils.py | import logging
import os
import pickle
import lmdb
import pyarrow
from model.vocab import Vocab
def build_vocab(name, dataset_list, cache_path, word_vec_path=None, feat_dim=None):
logging.info(' building a language model...')
if not os.path.exists(cache_path):
lang_model = Vocab(name)
for d... | 1,678 | 27.948276 | 84 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/utils/train_utils.py | import logging
import os
import pickle
import random
import subprocess
from collections import defaultdict, namedtuple
from logging.handlers import RotatingFileHandler
from textwrap import wrap
import numpy as np
import re
import time
import math
import soundfile as sf
import librosa.display
import matplotlib
import ... | 6,259 | 31.604167 | 112 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/model/seq2seq_net.py | import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import math
'''
Based on the following Se2Seq implementations:
- https://github.com/AuCson/PyTorch-Batch-Attention-Seq2seq
- https://github.com/spro/practical-pytorch/blob/master/seq2seq-translation/seq2seq-translati... | 10,719 | 41.039216 | 117 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/model/embedding_space_evaluator.py | import time
import numpy as np
import torch
import torch.nn.functional as F
import umap
from scipy import linalg
from model.embedding_net import EmbeddingNet
import warnings
warnings.filterwarnings("ignore", category=RuntimeWarning) # ignore warnings
class EmbeddingSpaceEvaluator:
def __init__(self, args, emb... | 6,387 | 39.687898 | 117 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/model/embedding_net.py | import random
import torch
import torch.nn as nn
import torch.nn.functional as F
from model.multimodal_context_net import WavEncoder, TextEncoderTCN
def reparameterize(mu, logvar):
std = torch.exp(0.5 * logvar)
eps = torch.randn_like(std)
return mu + eps * std
def ConvNormRelu(in_channels, out_channel... | 10,527 | 30.806647 | 113 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/model/vocab.py | import logging
import os
import pickle
import numpy as np
import fasttext
class Vocab:
PAD_token = 0
SOS_token = 1
EOS_token = 2
UNK_token = 3
def __init__(self, name, insert_default_tokens=True):
self.name = name
self.trimmed = False
self.word_embedding_weights = None
... | 4,939 | 36.709924 | 130 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/model/multimodal_context_net.py | import torch
import torch.nn as nn
from model import vocab
import model.embedding_net
from model.tcn import TemporalConvNet
class WavEncoder(nn.Module):
def __init__(self):
super().__init__()
self.feat_extractor = nn.Sequential(
nn.Conv1d(1, 16, 15, stride=5, padding=1600),
... | 9,831 | 37.86166 | 113 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/model/speech2gesture.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
""" reimplement speech2gesture model(https://github.com/amirbar/speech2gesture) with pytorch """
class Conv2d_tf(nn.Conv2d):
"""
Conv2d with the padding behavior from TF
from https://github.com/mlperf/inference/blob/482... | 8,841 | 32.116105 | 159 | py |
Gesture-Generation-from-Trimodal-Context | Gesture-Generation-from-Trimodal-Context-master/scripts/model/tcn.py | """ from https://github.com/locuslab/TCN/blob/master/TCN/tcn.py """
import torch
import torch.nn as nn
from torch.nn.utils import weight_norm
class Chomp1d(nn.Module):
def __init__(self, chomp_size):
super(Chomp1d, self).__init__()
self.chomp_size = chomp_size
def forward(self, x):
re... | 2,536 | 38.030769 | 110 | py |
MFTreeSearchCV | MFTreeSearchCV-master/mf/unittest_mf_gp_bandit.py | """
Unit tests for MF-GP-Bandits
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=maybe-no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=super-on-old-class
import numpy as np
# Local
from examples.synthetic_function... | 6,459 | 43.551724 | 88 | py |
MFTreeSearchCV | MFTreeSearchCV-master/mf/demo_mf_gp_bandit.py | """
A Demo for MF-GP-Bandit
"""
# pylint: disable=invalid-name
# Local
from synthetic_functions import get_mf_hartmann_as_mfof
from mf_gp_bandit import mfgpb_from_mfoptfunc
# methods = ['gp_ucb', 'gp_ei', 'mf_gp_ucb']
methods = ['mf_gp_ucb']
fidel_dim = 2
domain_dim = 6
num_max_hf_queries = 200
# fidel_dim = 1
# ... | 761 | 20.771429 | 88 | py |
MFTreeSearchCV | MFTreeSearchCV-master/mf/mf_gpb_utils.py | """
A collection of utilities for MF-GP Bandits.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=super-on-old-class
# pylint: disable=no-name-in-module
from argparse import Namespace
from copy ... | 8,112 | 40.182741 | 90 | py |
MFTreeSearchCV | MFTreeSearchCV-master/mf/mf_gp.py | """
Implements the kernel, GP and fitter for multi-fidelity GPs.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=super-on-old-class
import numpy as np
# Local imports
from gp.kernel import Coo... | 16,675 | 45.974648 | 90 | py |
MFTreeSearchCV | MFTreeSearchCV-master/mf/gen_mfgp_sample.py | """
Used to generate a sample from an MFGP sample.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=too-many-locals
# pylint: disable=no-name-in-module
# pylint: disable=superfluous-parens
impo... | 3,811 | 32.147826 | 89 | py |
MFTreeSearchCV | MFTreeSearchCV-master/mf/mf_gp_bandit.py | """
Implements Multi-fidelity GP Bandit Optimisaiton.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=super-on-old-class
from argparse import Namespace
from copy import deepcopy
import time
imp... | 26,868 | 46.894831 | 90 | py |
MFTreeSearchCV | MFTreeSearchCV-master/mf/unittest_mf_gp.py | """
Unit tests for mf_gp.py
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=superfluous-parens
# pylint: disable=maybe-no-member
# pylint: disable=abstract-class-not-used
from argparse import ... | 12,820 | 43.985965 | 90 | py |
MFTreeSearchCV | MFTreeSearchCV-master/mf/mfopt_experimenters.py | """
Harness for conducting experiments for MF Optimisation.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=relative-import
# pylint: disable=abstract-class-not-used
from argparse import Namespace
from datetime import datetime
import numpy as np
import os
#... | 9,375 | 46.593909 | 90 | py |
MFTreeSearchCV | MFTreeSearchCV-master/mf/demo_mfgp_gp_comp.py | """
A simple demo for mf gps. We will use the same data and see if the GPs learned are
the same.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=superfluous-parens
import numpy as np
# Local... | 3,305 | 35.733333 | 87 | py |
MFTreeSearchCV | MFTreeSearchCV-master/mf/mf_func.py | """
A collection of functions for managing multi-fidelity functions.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=super-on-old-class
import numpy as np
# Local imports
from utils.general_uti... | 12,542 | 41.090604 | 90 | py |
MFTreeSearchCV | MFTreeSearchCV-master/mf/__init__.py | """
Implements methods for creating and using multi-fidelity gaussian processes.
-- [email protected]
"""
| 114 | 18.166667 | 78 | py |
MFTreeSearchCV | MFTreeSearchCV-master/mf/unittest_mf_gpb_utils.py | """
Unit tests for MF-GP-Bandit Utilities.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=super-on-old-class
from copy import deepcopy
from argparse import Namespace
import numpy as np
# Local... | 10,047 | 43.070175 | 90 | py |
MFTreeSearchCV | MFTreeSearchCV-master/mf/unittest_mf_func.py | """
Unit tests for mf_func.py
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=superfluous-parens
# pylint: disable=maybe-no-member
from argparse import Namespace
import numpy as np
# Local
imp... | 13,043 | 45.091873 | 90 | py |
MFTreeSearchCV | MFTreeSearchCV-master/examples/experiment_synthetic.py | """
Running experiments for the synthetic functions.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=abstract-class-not-used
from argparse import Namespace
import numpy as np
# Local imports
f... | 4,771 | 31.462585 | 88 | py |
MFTreeSearchCV | MFTreeSearchCV-master/examples/experiment_synth_POO.py | import numpy as np
import Queue
from mf.mf_func import MFOptFunction
from utils.general_utils import map_to_cube
import sys
from examples.synthetic_functions import *
from mf.mf_func import get_noisy_mfof_from_mfof
from letters.letters_classifier import *
import time
from MFTree.POO import *
import synthetic_function... | 2,791 | 24.851852 | 162 | py |
MFTreeSearchCV | MFTreeSearchCV-master/examples/experiment_synthetic_curin.py | """
Running experiments for the synthetic functions.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=abstract-class-not-used
from argparse import Namespace
import numpy as np
# Local imports
f... | 4,770 | 31.455782 | 88 | py |
MFTreeSearchCV | MFTreeSearchCV-master/examples/experiment_synthetic_borehole.py | """
Running experiments for the synthetic functions.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=abstract-class-not-used
from argparse import Namespace
import numpy as np
# Local imports
f... | 4,770 | 31.455782 | 88 | py |
MFTreeSearchCV | MFTreeSearchCV-master/examples/unittest_synthetic_functions.py | """
Test cases for the functions in synthetic_functions.py
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=super-on-old-class
import numpy as np
from synthetic_functions import get_mf_hartmann... | 2,491 | 36.19403 | 87 | py |
MFTreeSearchCV | MFTreeSearchCV-master/examples/experiment_synthetic_barin.py | """
Running experiments for the synthetic functions.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=abstract-class-not-used
from argparse import Namespace
import numpy as np
# Local imports
f... | 4,770 | 31.455782 | 88 | py |
MFTreeSearchCV | MFTreeSearchCV-master/examples/experiment_synthetic_hartman6d.py | """
Running experiments for the synthetic functions.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=abstract-class-not-used
from argparse import Namespace
import numpy as np
# Local imports
f... | 4,771 | 31.462585 | 88 | py |
MFTreeSearchCV | MFTreeSearchCV-master/examples/experiment_synth_MFHOO.py | import numpy as np
import Queue
from mf.mf_func import MFOptFunction
from utils.general_utils import map_to_cube
import sys
from examples.synthetic_functions import *
from mf.mf_func import get_noisy_mfof_from_mfof
from letters.letters_classifier import *
import time
from MFTree.MFHOO import *
import synthetic_functi... | 2,797 | 24.907407 | 163 | py |
MFTreeSearchCV | MFTreeSearchCV-master/examples/__init__.py | """
Contains some results functions.
-- [email protected]
-- [email protected]
"""
| 95 | 15 | 34 | py |
MFTreeSearchCV | MFTreeSearchCV-master/examples/synthetic_functions.py | """
A collection of utilities for MF-GP Bandits.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=super-on-old-class
import numpy as np
# Local imports
from mf.mf_func import MFOptFunction
from ... | 9,602 | 38.846473 | 90 | py |
MFTreeSearchCV | MFTreeSearchCV-master/MFTreeSearchCV/MFHOO.py |
#Author: Rajat Sen
from __future__ import print_function
from __future__ import division
import os
import sys
module_path = os.path.abspath(os.path.join('..'))
if module_path not in sys.path:
sys.path.append(module_path)
import numpy as np
from mf.mf_func import MFOptFunction # MF function object
from utils.gene... | 15,512 | 26.168126 | 221 | py |
MFTreeSearchCV | MFTreeSearchCV-master/MFTreeSearchCV/MFTreeFunction.py | #Author: Rajat Sen
# general MF function object for doing tree search on scikit-learn classifier/regressor object
from __future__ import print_function
from __future__ import division
import os
import sys
module_path = os.path.abspath(os.path.join('..'))
if module_path not in sys.path:
sys.path.append(module_path... | 6,789 | 34.549738 | 146 | py |
MFTreeSearchCV | MFTreeSearchCV-master/MFTreeSearchCV/MFTreeSearchCV.py | # Author: Rajat Sen
# This is the main source file that implements the methods MFTreeSearchCV
from __future__ import print_function
from __future__ import division
import os
import sys
module_path = os.path.abspath(os.path.join('..'))
if module_path not in sys.path:
sys.path.append(module_path)
from sklearn.mode... | 8,272 | 34.813853 | 148 | py |
MFTreeSearchCV | MFTreeSearchCV-master/MFTreeSearchCV/__init__.py | # Code for MFTreeSearchCV
# Contact: [email protected]
from __future__ import division
from __future__ import print_function
| 129 | 20.666667 | 37 | py |
MFTreeSearchCV | MFTreeSearchCV-master/MFTreeSearchCV/converters.py | # Author: Rajat Sen
### This file is meant for functions that interchange various methods of representing the range and values for various hyper-parameters.
from __future__ import print_function
from __future__ import division
import numpy as np
def convert_dict_to_bounds(param_dict):
'''
convert param_dict to ... | 1,689 | 18.204545 | 137 | py |
MFTreeSearchCV | MFTreeSearchCV-master/gp/gp_instances.py | """
A module which implements different instances of GPs.
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=abstract-class-not-used
# pylint: disable=super-on-old-class
import numpy as np
# Loc... | 7,818 | 42.198895 | 90 | py |
MFTreeSearchCV | MFTreeSearchCV-master/gp/unittest_gp_core.py | """
Unit tests for gp.py
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
from utils.base_test_class import BaseTestClass, execute_tests
import numpy as np
# Local
import gp_core
import kernel
def gen_gp_test_... | 4,143 | 32.691057 | 89 | py |
MFTreeSearchCV | MFTreeSearchCV-master/gp/demo_gp_1.py | """
A simple demo for gps.
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=superfluous-parens
from argparse import Namespace
import numpy as np
# Local
import gp_core
import gp_instances
import kernel
def get_data():... | 1,784 | 29.254237 | 90 | py |
MFTreeSearchCV | MFTreeSearchCV-master/gp/gp_core.py | """
A module for fitting a GP and tuning its kernel.
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
import sys
import numpy as np
from utils.general_utils import stable_cholesky, draw_gaussian_samples
from utils.optimisers import dir... | 10,315 | 38.075758 | 89 | py |
MFTreeSearchCV | MFTreeSearchCV-master/gp/__init__.py | """
A Harness for creating and using various kinds of GPs.
-- [email protected]
"""
| 92 | 14.5 | 56 | py |
MFTreeSearchCV | MFTreeSearchCV-master/gp/unittest_gp_instances.py | """
Unit tests for gp_instances.py
-- [email protected]
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# Local
from gp_instances import SimpleGPFitter
from utils.base_test_class import BaseTestClass, execute_tests
from unittest_gp... | 2,541 | 35.314286 | 89 | py |
MFTreeSearchCV | MFTreeSearchCV-master/gp/unittest_kernel.py | """
Unit tests for kernel.py
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=abstract-class-not-used
# pylint: disable=abstract-class-little-used
import numpy as np
# Local imports
import kernel
from utils.general_uti... | 8,448 | 43.941489 | 90 | py |
MFTreeSearchCV | MFTreeSearchCV-master/gp/kernel.py | """
Implements various kernels.
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
import numpy as np
# Local imports
from utils.general_utils import dist_squared
class Kernel(object):
""" A kernel class. """
def __init__(self):
... | 9,318 | 33.772388 | 90 | py |
MFTreeSearchCV | MFTreeSearchCV-master/utils/option_handler.py | """
A harness to load options.
"""
# pylint: disable=star-args
import argparse
from copy import deepcopy
def get_option_specs(name, required=False, default=None, help_str='', **kwargs):
""" A wrapper function to get a specification as a dictionary. """
ret = {'name':name, 'required':required, 'default':default... | 1,599 | 32.333333 | 81 | py |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.