A Lisp interpreter written fully in rust macros.

A package manager and build system for C++

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable an…

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

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

A hyperparameter optimization framework

C/C++ frontend for MLIR. Also features polyhedral optimizations, parallel optimizations, and more!

Geometric kernels on manifolds, meshes and graphs

A toolkit for developing and comparing reinforcement learning algorithms.

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

A Graph Neural Network Library in Jax

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

This is a collection of DS, AI, ML, DL, NLP, Computer Vision job interview questions.

The Mojo Programming Language

Minimalist ML framework for Rust

mlpack: a fast, header-only C++ machine learning library

🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

A rust fork to work towards Enzyme integration

Explicit SIMD vector operations for Julia

Julia Cheat Sheet

Point Cloud Library (PCL)

A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)

Website resource pages for Khronos.org. Community is encouraged to help keep up-to-date