That’s precisely why we have gated repos and then we could have a Sign in with HF to ensure only people on ACL are able to access the weights.
OPEN SOURCE
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Cornell CS5785 Applied Machine Learning Course with 80 Video Tutorials
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Applied Machine Learning – Cornell CS5785 "Starting from the very basics, covering all of the most important ML algorithms and how to apply them in practice. Executable Jupyter notebooks (and as slides)". 80 videos!! Videos: https://
youtube.com/playlist?list=
PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83
…
Code: https://
github.com/kuleshov/corne
ll-cs5785-2020-applied-ml
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Google DeepMind Model Weights Distribution Process and Timeline
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The model weights require you to fill a Google Form and wait for 3-4 business days, but hoping @GoogleDeepMind brings the model weights over to the Hub.
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AlphaFold3 inference codebase released by Google DeepMind
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Inference codebase: https://
github.com/google-deepmin
d/alphafold3
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Hugging Face Hub hosts model weights with gated repository access
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Congratulations on the release – Would love to help get these model weights on the Hugging Face hub. We can set up gated repositories so you have full ACL of who accesses the model repositories as well. (We do the same for Gemma repos as well, lmk if that’s helpful)
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AlphaFold 3 Model Code and Weights Released for Academic Use
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Huge. AlphaFold 3 model code and weights are now available for academic use. @GoogleDeepMind is such an amazing company. Love to see this.
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AFlow: Automating Agentic Workflow Generation by MetaGPT
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Introducing AFlow: Automating Agentic Workflow Generation by MetaGPT https://
arxiv.org/abs/2410.10762 https://
github.com/geekan/MetaGPT
/tree/main/examples/aflow
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Planning for Explosive Open Source Release Next Week
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they planning for an explosive open source next week
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WebRL Self-Evolving Framework Boosts Open LLM Web Agents
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8). WebRL – proposes a self-evolving online curriculum RL framework to bridge the gap between open and proprietary LLM-based web agents; it improves the success rate of Llama-3.1-8B from 4.8% to 42.4%, and from 6.1% to 43% for GLM4-9B; the open models significantly surpass the
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HfApiEngine improvement simplifies open-LLM agent creation
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A nice PR from @BruleNaudet in transformers.agents just improved HfApiEngine. This makes the creation of open-LLM-powered agents even easier with our free Inference API!