MLX: An array framework for Apple silicon
- mlx
47,133 repositories indexed
1–24 of 34 · Most stars
MLX: An array framework for Apple silicon
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
g2o: A General Framework for Graph Optimization
BLAS-like Library Instantiation Software Framework
Multiphysics Object Oriented Simulation Environment: A robust, modern, extendable, finite element/finite volume framework that excels at creating complex multiphysics simulations.
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript
An open source mesh slicer framework for Unity3D Game Engine. Written in C#.
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
Real-time multi-physics simulation with an emphasis on medical simulation.
Brian is a free, open source simulator for spiking neural networks.
A lightweight high performance tensor algebra framework for modern C++
OpenMDAO repository.
Throw in the towel.
A flexible framework for solving PDEs with modern spectral methods.
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.
🎯 A comprehensive gradient-free optimization framework written in Python
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
A Python native dynamical system simulation framework in the block diagram paradigm.
A High-Level Abstraction Framework for Quantum Algorithms
A model generator for energy system modelling and optimisation (LP/MILP).
a unified framework for modeling chemically reactive systems
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.