Stars
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Tensors and Dynamic neural networks in Python with strong GPU acceleration
scikit-learn: machine learning in Python
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
PyTorch Tutorial for Deep Learning Researchers
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Janus-Series: Unified Multimodal Understanding and Generation Models
Xournal++ is a handwriting notetaking software with PDF annotation support. Written in C++ with GTK3, supporting Linux (e.g. Ubuntu, Debian, Arch, SUSE), macOS and Windows 10. Supports pen input fr…
An open source implementation of CLIP.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation" (CVPR'25 Spotlight).
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Caffe2 is a lightweight, modular, and scalable deep learning framework.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Visualizations for machine learning datasets
A unified framework for 3D content generation.
Infinite Photorealistic Worlds using Procedural Generation
Rust bindings for the C++ api of PyTorch.
Count the MACs / FLOPs of your PyTorch model.
LPIPS metric. pip install lpips