Fully automatic censorship removal for language models

List of papers about Proteins Design using Deep Learning

We introduce BabyVision, a benchmark revealing the infancy of AI vision.

📜 Paper list on decoding methods for LLMs and LVLMs

Scientific Large Language Models: A Survey on Biological & Chemical Domains

"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"

Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, IP-Adapter.

Example applications of path signatures

Practical course about Large Language Models.

Official repository for the ProteinGym benchmarks

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

OpenMMLab course index and stuff

Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

Code for the ProteinMPNN paper

This package contains deep learning models and related scripts for RoseTTAFold

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Get protein embeddings from protein sequences