Cartesian Genetic Programming Python Package

AutoOED: Automated Optimal Experimental Design Platform

UNet diffusion model in pure CUDA

Truly independent web browser

Optax is a gradient processing and optimization library for JAX.

🍦 Never use print() to debug again.

Very basic Mathematica package for working with halfedge meshes.

Implementation of Diffusion Transformer (DiT) in JAX

Exact calculation of the overlap volume and area of spheres and mesh elements

The DComEX Framework

llama3 implementation one matrix multiplication at a time

Automatically exported from code.google.com/p/cuda-convnet2

Flax is a neural network library for JAX that is designed for flexibility.

The FORM project for symbolic manipulation of very big expressions

XLB: Accelerated Lattice Boltzmann (XLB) based on JAX for Physics-based ML

Python libraries for Google Colaboratory

Optimal Importance Sampling for Diffusion processes applied to ISOKANN.

Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations

[GSI 2023] Learning Lagrangian Fluid Mechanics with E(3)-Equivariant GNNs

Differentiable Fluid Dynamics Package

Neural SPH

ALPACA: Adaptive Level-set PArallel Code

JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework

LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite

Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch

C++ Frequently Questioned Answers (FQA)