Cosmos Evaluator is an automated evaluation & grading system for synthetic video output generated by Cosmos models

A virtual lab of LLM agents for science research

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…

Witness the aha moment of VLM with less than $3.

Simple RL training for reasoning

Minimal reproduction of DeepSeek R1-Zero

Fully open reproduction of DeepSeek-R1

Leetcode for Pytorch

Python tool for converting files and office documents to Markdown.

Windows inside a Docker container.

Material for gpu-mode lectures

A high-throughput and memory-efficient inference and serving engine for LLMs

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

LLM training in simple, raw C/CUDA

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

Deep neural models for core NLP tasks (Pytorch version)

M4 experiment logbook

Modeling, training, eval, and inference code for OLMo

✨✨Latest Advances on Multimodal Large Language Models

An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"

A curated list of Palestine and Palestinian-Israeli conflict resources.

Machine Learning Engineering Open Book

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.