Open-source PyTorch tool that traces live training signals back to the data samples causing them. Pause the training to find mislabels, outliers, and class imbalance in image, video, and LiDAR data…

Phoenix — universal home-lab-in-a-box. Same UX on a Raspberry Pi or an NVIDIA DGX Spark. One command, Docker-based, agent picks the right LLM, auto-discovers services, Tailscale-ready. Apache 2.0.

Algorithm powering the For You feed on X

Tools for scraping, parsing, ingesting and accessing hansard data from mzalendo.com to provide structured transcripts of National Assembly and Senate sittings from the Parliament of Kenya.

Free MLOps course from DataTalks.Club

Polymarket Data Retriever that fetches, processes, and structures Polymarket data including markets, order events and trades.

A machine learning library with a TypeScript API and Rust backend. CUDA and WebGPU compatibility. Built to understand how ML frameworks and models work internally.

TradingAgents: Multi-Agents LLM Financial Trading Framework

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

Beginner, advanced, expert level Rust training material

A local-first multi-agent runtime for ML research. One task in, continuous iteration out, with leader, researcher, and trainer working through a forum-style runtime board and a separate training q…

A tool to configure, launch and manage your machine learning experiments.

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

Agentic AI system to solve Kaggle Competitions

Structured deep research skill for Claude Code/Open Code/Codex with human-in-the-loop control

An experiment in turning years of machine learning experience into a research loop that could run on its own

🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.

Train the smallest LM you can that fits in 16MB. Best model wins!

Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.

A lightweight, framework-agnostic gRPC library for serving machine learning models in Python.

An end-to-end machine learning pipeline and ensemble solution for the DataOrg Financial Health Prediction Challenge on Zindi.

a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task

Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA

Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.

AI agents running research on single-GPU nanochat training automatically

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