Stars
A collection of learning resources for curious software engineers
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation" (CVPR'25 Spotlight).
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
The official PyTorch implementation of Google's Gemma models
Schedule-Free Optimization in PyTorch
Official inference repo for FLUX.2 models
🪐 Objaverse-XL is a Universe of 10M+ 3D Objects. Contains API Scripts for Downloading and Processing!
High-fidelity performance metrics for generative models in PyTorch
Production-ready data processing made easy and shareable
Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).
An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
A Python tool to evaluate the performance of VLM on the medical domain.
Data-centric AI building blocks for computer vision applications
Library to perform image and video self-supervised learning.
Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motion
Library to perform efficient vision data augmentations for CPU/GPU per-sample/batched data.
A unified interface to various 3D driving datasets
A program to print consumed resources at the end of a slurm job.
Official implementation of the paper "Towards fine-grained spatial control for soccer game image generation" CVsports 2025