A library for mechanistic interpretability of GPT-style language models

AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary

GDM Science Skills to speed up agentic scientific workflows with better grounding and higher token efficiency. Integrate insights from AlphaGenome, AFDB, UniProt and 30+ other databases and tools.

Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini C…

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Skills for Real Engineers. Straight from my .claude directory.

Academic Research Skills for Claude Code: research → write → review → revise → finalize

Tree-based visualization for high-dimensional data. Organizes similar items into interactive tree structures for any high-dimensional dataset.

Clustering and visualization of billions of molecules (or other high-dimensional data). 1 billion, 100K clusters, less than 3 hours, one GPU.

Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

Fast and memory-efficient exact kmeans

evaluate chemical equivalence of atom-mapped reactions against ground truth.

A small, highly performant JavaScript component for parsing and drawing SMILES strings. Released under the MIT license.

A high-performance, GPU-accelerated library for key computational chemistry tasks, such as molecular similarity, conformer generation, and geometry relaxation.

TMAP but compatible with newer versions of python and apple silicon

Scalable WebGL-based scatter plot library build with Regl

🐹 Clean, uninstall, analyze, optimize, and monitor your Mac from the terminal.

Contexts Optical Compression

Fork from Boltz-1 to work on the test suite and new features

Official repository for the Boltz biomolecular interaction models

Official Repository for the Uni-Mol Series Methods

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

From the Transistor to the Web Browser, a rough outline for a 12 week course

Goal of this repository is designing a bioisosterically aware Kernel for Gaussian Process.

scikit-learn classes for molecular vectorization using RDKit

Generation of protein sequences and evolutionary alignments via discrete diffusion models

t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark