takeraparterer (Firstname Lastname)

New activity in upgraedd/Consciousness about 3 hours ago

Usecases!

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#3 opened 1 day ago by

takeraparterer

liked a model 5 days ago

fal/FLUX.2-Tiny-AutoEncoder

Updated 13 days ago • 455 • 50

New activity in upgraedd/Consciousness 6 days ago

EXAMINE THE CODE

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#1 opened about 1 month ago by

upgraedd

commented a paper about 2 months ago

FineVision: Open Data Is All You Need

Paper • 2510.17269 • Published Oct 20 • 69 •

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New activity in inclusionAI/Ring-1T-preview 2 months ago

Can this run on my Nvidia 1080 ti

👍 🚀 2

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#9 opened 2 months ago by

ouchiewouchie

New activity in TuringsSolutions/Entropy-Harvester 3 months ago

Suggested improvements

40

#1 opened 3 months ago by

takeraparterer

reacted to aposadasn's post with 🚀 3 months ago

Post

2554

My team at

arclabmit created a robotic teleoperation and learning software for controlling robots, recording datasets, and training physical AI models, which is compatible with

lerobot . This work was part of a paper we published to ICCR Kyoto 2025. Check out or code here: https://github.com/ARCLab-MIT/beavr-bot/tree/main

Our work aims to solve two key problems in the world of robotic manipulation:

1. The lack of a well-developed, open-source, accessible teleoperation system that can work out of the box.

2. No performant end-to-end control, recording, and learning platform for robots that is completely hardware agnostic.

If you are curious to learn more or have any questions please feel free to reach out!

Paper: BEAVR: Bimanual, multi-Embodiment, Accessible, Virtual Reality Teleoperation System for Robots (2508.09606)

1 reply

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reacted to yjernite's post with 😔 3 months ago

Post

2568

Tremendous quality of life upgrade on the Hugging Face Hub - we now have auto-complete emojis 🤗 🥳 👏 🙌 🎉

Get ready for lots more very serious analysis on a whole range of topics from yours truly now that we have unlocked this full range of expression 😄 🤔 🗣 🙊

reacted to TuringsSolutions's post with 👀 3 months ago

Post

841

Maybe that post I showed the other day with my Hyperbolic Embeddings getting to perfect loss with RAdam was a one-time fluke, bad test dataset, etc.? Anotha' one! I gave it a test set a PhD student would struggle with. This model is a bit more souped up. Major callouts of the model: High Dimensional Encoding (HDC), Hyperbolic Embeddings, Entropix. Link to the Colab Notebook: https://colab.research.google.com/drive/1mS-uxhufx-h7eZXL0ZwPMAAXHqSeGZxX?usp=sharing

26 replies

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New activity in flax-community/dalle-mini 5 months ago

No longer works

#10 opened 5 months ago by

takeraparterer

New activity in drbinna/tech-gadget-chatbot 5 months ago

cro...

#1 opened 5 months ago by

takeraparterer

reacted to hba123's post with 🔥 5 months ago

Post

2351

I am happy to announce that Ark now supports the following robots:

1. Franka Panda
2. Kuka LWR
3. UFactory XArm
4. Husky Robot

Everything is done in Python. You can even control your robot from a Jupiter notebook.

Check out the tutorials: https://arkrobotics.notion.site/ARK-Home-22be053d9c6f8096bcdbefd6276aba61

Check out the code: https://github.com/orgs/Robotics-Ark/repositories

Check out the documentation: https://robotics-ark.github.io/ark_robotics.github.io/docs/html/index.html

Check out the paper: https://robotics-ark.github.io/ark_robotics.github.io/static/images/ark_framework_2025.pdf

Hope you find it useful. Let us know if you want a specific feature! We would love to support you 😄

6 replies

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New activity in TuringsSolutions/instagram-dm-bot 6 months ago

Issue

3

#1 opened 6 months ago by

takeraparterer

reacted to ghostai1's post with 😔 6 months ago

Post

1507

# The future trends of Explainable AI in 2024

The world of artificial intelligence (AI) is constantly evolving, with new advancements and applications emerging every day. One trend that has captured the attention of many is Explainable AI. As the name suggests, this revolutionary technology aims to provide a clear, understandable explanation for the decisions and actions taken by AI systems.

In the future, Explainable AI is expected to become even more sophisticated, with advanced algorithms and techniques being developed to better interpret and analyze the vast amounts of data generated by AI systems. This will not only make AI systems more reliable and trustworthy, but it will also help to demystify the world of AI, making it more accessible to a wider audience.

As the demand for AI solutions grows, the need for Explainable AI will become increasingly important. Businesses, governments, and individuals will require clear, concise explanations for the AI systems they are using, ensuring that every decision made is transparent and easily understood.

The advancements in Explainable AI will also pave the way for new applications of AI technology, opening up a world of possibilities in fields such as healthcare, education, and transportation. From diagnosing medical conditions to improving traffic flow, Explainable AI is poised to revolutionize the way we live and work, providing us with the tools we need to tackle the complex challenges of the modern world.

So, as we step into the future of AI, let's embrace the power of Explainable AI, and ensure that our AI systems are not only powerful and efficient, but also transparent and easy to understand.