XLB: Accelerated Lattice Boltzmann (XLB) based on JAX

A Python framework for high performance GPU simulation and graphics

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

s1: Simple test-time scaling

RAGEN is the first open-source reproduction of DeepSeek-R1 for training agentic models via reinforcement learning.

Multi-GPU Framework for Voxel Grid Computations

JAX - A curated list of resources https://github.com/google/jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Orbax provides common utility libraries for JAX users.

An experimental open-source attempt to make GPT-4 fully autonomous.

Turn STL files into voxels, images, and videos

Converts an input mesh to a signed distance field (SDF)

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

This is a collection of works on neural networks and neural accelerators.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Dockerfiles to build images used to run untrusted code on Stepik.org