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Stars
A curated list of awesome HD map construction methods
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, macOS and Windows operating systems.
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
An unofficial Python client library for the EdStem API, enabling asynchronous event handling on Ed.
Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels with Hunyuan3D World Model
Muon is an optimizer for hidden layers in neural networks
Release repo for our SLAM Handbook
CIFAR-10 speedruns: 94% in 2.6 seconds and 96% in 27 seconds
OptiScaler bridges upscaling/frame gen across GPUs. Supports DLSS2+/XeSS/FSR2+ inputs, replaces native upscalers, enables FSR-FG/XeFG on non-FG titles. Supports Nukem mod for DLSSG-to-FSR3 FG.
A MNIST-like fashion product database. Benchmark 👇
robomimic: A Modular Framework for Robot Learning from Demonstration
The official API server for Exllama. OAI compatible, lightweight, and fast.
A curated list of recent monocular depth estimation papers
Platform for training generalizable deep reinforcement learning agents
A playbook for systematically maximizing the performance of deep learning models.
A PyTorch native platform for training generative AI models
Generate any location from the real world in Minecraft with a high level of detail.
TorchCFM: a Conditional Flow Matching library
Small python-gtk application, which helps the user to merge or split PDF documents and rotate, crop and rearrange their pages using an interactive and intuitive graphical interface.
Simulation platform for general-purpose robotics & embodied AI learning.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.