Scientific Computing
Showing 36 of 326 projects
A high-level, high-performance dynamic programming language for technical computing.
The fundamental package for scientific computing with Python, providing powerful N-dimensional arrays and mathematical functions.
A collection of 134 ready-to-use Agent Skills for scientific research, covering genomics, drug discovery, clinical analysis, and more.
An industrial deep learning framework supporting unified dynamic/static graphs, automatic parallelism, and integrated training/inference for large models.
An industrial deep learning framework from China supporting unified dynamic/static graphs, automatic parallelism, and integrated training/inference for large models.
A comprehensive Python library for creating static, animated, and interactive visualizations and publication-quality figures.
A Rust-based deep learning framework and tensor library optimized for flexibility, efficiency, and cross-platform portability.
A collection of implementations and illustrative code accompanying DeepMind's published research papers across AI and scientific domains.
A collection of implementations and illustrative code accompanying DeepMind's published research papers across AI and machine learning.
A full-featured computer algebra system (CAS) written in pure Python for symbolic mathematics.
A Python distribution for the browser and Node.js based on WebAssembly, enabling Python to run in web environments.
A NumPy/SciPy-compatible array library for GPU-accelerated computing with Python, supporting NVIDIA CUDA and AMD ROCm.
A scientific computing framework with wide support for machine learning algorithms, built around multi-dimensional tensor operations.
A collection of ready-to-run Docker images containing Jupyter applications and interactive computing tools.
A collection of ready-to-run Docker images containing Jupyter applications and interactive computing tools.
A comprehensive set of numeric libraries for Go, providing matrices, statistics, optimization, and graph algorithms.
AlphaFold 3 is an AI model that predicts the 3D structures of proteins and their interactions with other biomolecules like DNA, RNA, and ligands.
Automatically differentiate native Python and NumPy code for gradient-based optimization and machine learning.
An optimized open-source implementation of the Basic Linear Algebra Subprograms (BLAS) library for high-performance scientific computing.
An open-source Python library for applying deep learning to drug discovery, materials science, quantum chemistry, and biology.
A comprehensive library for image processing in Python with algorithms for segmentation, filtering, morphology, and feature detection.
A high-performance deep learning library written entirely in Swift, optimized for Apple hardware.
A C++ library providing efficient and reliable algorithms for computational geometry problems.
A standard library for JavaScript and TypeScript with an emphasis on numerical and scientific computation.
A fast, header-only C++ machine learning library with bindings for Python, R, Julia, and Go.
A Python library providing extensions and utilities for data science and machine learning tasks.
A simple C++ geometry processing library for manipulating and analyzing 3D meshes.
A Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits on quantum computers and simulators.
A C++ graphics library for data visualization with interactive plotting, high-quality export, and dozens of plot categories.
A general-purpose tensor library for parallel computing across CPUs, GPUs, and hardware accelerators.
A header-only C++ plotting library that provides a simple API similar to Matlab and matplotlib.
A comprehensive linear algebra library for Rust with support for statically-sized and dynamically-sized matrices.
A comprehensive Rust machine learning framework focused on preprocessing and classical algorithms, akin to scikit-learn.
A comprehensive .NET framework for machine learning, computer vision, statistics, and scientific computing.
A pure-Python graphics library for fast data visualization and GUI tools in scientific and engineering applications.
A Python package for working with labeled multi-dimensional arrays, inspired by pandas and tailored for scientific data.
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