Productive, portable, and performant GPU programming in Python.
- taichi
- differentiable-programming
- gpu-programming
- sparse-computation
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Productive, portable, and performant GPU programming in Python.
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
Minecraft: Java Edition 26.3 rewritten from scratch in Rust, checked against vanilla with 281 differential harnesses. Get it with the Horizon launcher.
A PyTorch Library for Accelerating 3D Deep Learning Research
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
Dart Image Library for opening, manipulating, and saving various different image file formats.
DiffSharp: Differentiable Functional Programming
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
Edit photos by describing the change, on your own GPU. A free, open-source alternative to Nano Banana and ChatGPT image editing: photos stay on your computer, no daily limit. One installer for Windows, Mac and Linux sets up the best open model (Qwen-Image 2.1). MCP server for AI agents.
JSAR: browser engine library designed for the Spatial Web. You can use it to mix-render different modern Web 2D and 3D contents together.
Machine learning compiler in Go. A from-scratch tinygrad port: graph-rewrite IR, autodiff as a compiler pass, zero-CGO WebGPU backend.
Playing around with swift playground by implementing different image filter algorithms