Enable true multi gpu capability in Comfy UI using XDiT XFuser and FSDP managed by Ray

For empowering community 🌱

Tensor library for machine learning

LLM inference in C/C++

A 124.6M LLM trained from scratch on 13B tokens on a single RTX 4090 — tokenizer, pretraining, post-training, evaluation, and reproducible inference.

An interactive visualization and comparison of various LLM (Large Language Model) architectures including GPT, Claude, Gemini, Llama, and more.

Lean certificates accompanying Navier-Stokes and Euler results

This repository is all about tips on ethical hacking and penetration testing!

This is a repository for the course "Agentic AI Engineering" by Towards AI.

NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.

Maryada, the trust layer for agentic commerce. Mandates, a deterministic policy engine, and a tamper-evident audit chain between AI agents and real money. Built on Razorpay test-mode rails.

Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.

FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models

Documented system prompts from Anthropic - Claude Fable 5.1, Opus 5.5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro, Antigravity. xAI - Grok, …

Cable Atlas — interactive 3D globe of the world's submarine internet cables. Real TeleGeography data, satellites, city-to-city routing, guided tour.

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

The math library of Lean 4

This package includes GPPG and GPLEX tools for compiling YACC and LEX source files in your C# project. Useful if you want to create a compiler, a transpiler or interpret a formal language.

Curated collection of papers in MoE model inference

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

Linux kernel source tree

Multiplayer agent harness for work.

Run a 1-billion parameter LLM on a $10 board with 256MB RAM

A comprehensive hands-on guide to building production-grade distributed applications with Ray - from distributed training and multimodal data processing to inference and reinforcement learning.