Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…

A library of Jupyter notebooks and corresponding YouTube lectures by Roman Paolucci

Using reinforcement learning to make markets in the high frequency trading setting.

Simple Python implementation of order book matching engine

Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks

A script that helps generate a rich GitHub Contribution Graph for your account 🤖

SAM: Sharpness-Aware Minimization (PyTorch)

Entropy Based Sampling and Parallel CoT Decoding

An open-source RAG-based tool for chatting with your documents.

🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Gemini, Ollam…

SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.

Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23…

🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

A modular RL library to fine-tune language models to human preferences

Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam

Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"

LLM101n: Let's build a Storyteller

My personal CV template with Latex and Quarto

An extension of XGBoost to probabilistic modelling

Probabilistic Random Forest: A machine learning algorithm for noisy datasets

The missing CMake project initializer

Bitcoin Core integration/staging tree

A cheatsheet of modern C++ language and library features.