Stars
Command-line program to download videos from YouTube.com and other video sites
scikit-learn: machine learning in Python
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Open standard for machine learning interoperability
An open source implementation of CLIP.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Single Image to 3D using Cross-Domain Diffusion for 3D Generation
A PyTorch Library for Accelerating 3D Deep Learning Research
PyTorch code and models for VJEPA2 self-supervised learning from video.
A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Code and model to control the AH!
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
A General NeRF Acceleration Toolbox in PyTorch.
Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition (CVPR2023)