Optimizing compiler for React
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Optimizing compiler for React
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
A computer algebra system written in pure Python
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...
NumPy & SciPy for GPU
CUDA Templates and Python DSLs for High-Performance Linear Algebra
AlphaFold 3 inference pipeline.
Efficiently computes derivatives of NumPy code.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
Apache KIE (Knowledge Is Everything) is the home of Drools, OptaPlanner, jBPM, and Kogito.
Astronomy and astrophysics core library
Official git repository for Biopython (originally converted from CVS)
A PyTorch Library for Accelerating 3D Deep Learning Research
ArrayFire: a general purpose GPU library.
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
C++ implementation of the Python Numpy library
3D visualization and mesh analysis for science and engineering
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
High-performance C++ library for multiphysics and multibody dynamics simulations
POT : Python Optimal Transport
BLAS-like Library Instantiation Software Framework