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Lists (11)
Starred repositories
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
Models and examples built with TensorFlow
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this repo is centered around, but you can apply…
A collection of pre-trained, state-of-the-art models in the ONNX format
Reading list for research topics in multimodal machine learning
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
image registration related books, papers, videos, and toolboxes
Collection of awesome medical dataset resources.
Official repository for "AM-RADIO: Reduce All Domains Into One"
Foldseek enables fast and sensitive comparisons of large structure sets.
Making Protein Design accessible to all via Google Colab!
Cell2Sentence: Teaching Large Language Models the Language of Biology
code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.
A scanpy extension to analyse single-cell TCR and BCR data.
[ICCV 2025] AbdomenAtlas 3.0 (9,262 CT volumes + medical reports). These “superhuman” reports are more accurate, detailed, standardized, and generated faster than traditional human-made reports.
[CVPR 2024] Intraoperative 2D/3D registration via differentiable X-ray rendering