Starred repositories
Phylanx plugin wrapping Halide functionalities
00sapo / CoordFill
Forked from NiFangBaAGe/CoordFillCoordFill made pip-installable
Visualize AI/LLM workflows in your codebase.
[SIGGRAPH 2025] Painting with 3D Gaussian Splat Brushes
NVIDIA curated collection of educational resources related to general purpose GPU programming.
A set of computer vision tools for analyzing your climbing videos.
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Header-only C++/python library for fast approximate nearest neighbors
Public quant internship repository, maintained by NUFT but available for everyone.
A list of online resources for quantitative modeling, trading, portfolio management
C17-based extended standard library, cross-language type system, and unit testing framework targeting Dreamcast, Gamecube, PSP, PSVita, Windows, Mac, Linux, Android, iOS, and WebAssembly.
An invigorating blend of 3D geometry tools in Python.
Open source neural network chess engine with GPU acceleration and broad hardware support.
Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.
📚 Freely available programming books
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Generative Models by Stability AI
A latent text-to-image diffusion model
CUDA accelerated rasterization of gaussian splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang.
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
A curated list of awesome neural radiance fields papers
A collection of resources and papers on Diffusion Models
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Reference PyTorch implementation and models for DINOv3
A collection of noise designs for diffusion models [Eurographics Tutorial / SIGGRAPH Course, 2025]