Best practices & guides on how to write distributed pytorch training code

A framework to generate Knowledge Graph Question Answering synthetic datasets from any KG

overview of datasets for ML in chemistry

MCP tool for deep web research

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

Official Implementation for NorMuon paper

Echos is a headless, API-driven DAW engine. It’s the backend for building AI tools that automate the entire music production lifecycle.

This repo is for all course work required to be certified for the AI Engineering Bootcamp

Shorter but not Worse: Frugal Reasoning via Easy Samples as Length Regularizers in Math RLVR

Official implementation of "Continuous Autoregressive Language Models"

An Open-Source Large-Scale Reinforcement Learning Project for Search Agents

🎒 Token-Oriented Object Notation (TOON) – A compact, deterministic JSON format for LLM prompts. Spec, benchmarks, TypeScript SDK.

NOFX: Defining the Next-Generation AI Trading Operating System. A multi-exchange Al trading platform(Binance/Hyperliquid/Aster) with multi-Ai competition(deepseek/qwen/claude)self-evolution, and re…

Grab any element on in your app and give it to Cursor, Claude Code, etc

Agentic AI system to solve Kaggle Competitions

An Open Source Toolkit For LLM Distillation

Fast State-of-the-Art Static Embeddings

This repository contains the code for https://decimer.ai

Uses LlamaIndex for graph building from content. Vector, GraphRAG, and Full text hybrid search. Docling document processing. Configurable with what graph database, vector database, search database,…

Defeating the Training-Inference Mismatch via FP16

NVIDIA Clara Open Models

Awesome Protein Representation Learning

"AI-Trader: Can AI Beat the Market?" Live Trading Bench: https://hkuds.github.io/AI-Trader/