Stars
Drive-Pi0 and DriveMoE on End-to-end Autonomous Driving
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
PyTorch code and models for VJEPA2 self-supervised learning from video.
A tool for creating credentials for accessing S3 buckets
Access large language models from the command-line
A PyTorch native platform for training generative AI models
Serve, optimize and scale PyTorch models in production
Run PyTorch LLMs locally on servers, desktop and mobile
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
SGLang is a fast serving framework for large language models and vision language models.
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
[ICLR'25] Official code for the paper 'MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs'
[ICLR'25] LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
Tool for generating high quality Synthetic datasets
real time face swap and one-click video deepfake with only a single image
A toolkit for developing and comparing reinforcement learning algorithms.
The Arcade Learning Environment (ALE) -- a platform for AI research.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Computational framework for reinforcement learning in traffic control
Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
A suite of test scenarios for multi-agent reinforcement learning.
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
🟣 Pytorch interview questions and answers to help you prepare for your next machine learning and data science interview in 2025.