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…

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.

code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503

[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.

A collection of resources and papers on AI Scientist / Robot Scientist

Cell2Sentence: Teaching Large Language Models the Language of Biology

MICCAI 2024 & CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging

Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Collection of awesome medical dataset resources.

[MICCAI2024] Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases

AlphaFold 3 inference pipeline.

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

LeeQ is a python package for orchestrating pulse sequences for quantum computing experiment with easy to use syntax.

HoVer-Net inference code for simultaneous nuclear segmentation and classification

Official repository for "AM-RADIO: Reduce All Domains Into One"

[CVPR 2024] Intraoperative 2D/3D registration via differentiable X-ray rendering

Making Protein Design accessible to all via Google Colab!

Code for ST_IGI package

Scripts to benchmark and train foldseek

Reading list for research topics in multimodal machine learning

A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.

Foldseek enables fast and sensitive comparisons of large structure sets.