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51 search results found

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

Mlpack ⭐ 4,657

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

Linfa ⭐ 3,190

A Rust machine learning framework.

Scikit Optimize ⭐ 2,700

Sequential model-based optimization with a `scipy.optimize` interface

Hedgehog Lab ⭐ 2,357

Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.

Owl - OCaml Scientific Computing @ https://ocaml.xyz

Enzyme ⭐ 1,142

High-performance automatic differentiation of LLVM and MLIR.

[HELP REQUESTED] Generalized Additive Models in Python

Smartcore ⭐ 600

A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.

Pdebench ⭐ 522

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Armadillo Code ⭐ 439

Armadillo: fast C++ library for linear algebra & scientific computing - https://arma.sourceforge.net

Scikit Garden ⭐ 242

A garden for scikit-learn compatible trees

A library and extension that provides objects for scientific computing in PHP.

Adcme.jl ⭐ 158

Automatic Differentiation Library for Computational and Mathematical Engineering

Py_resources ⭐ 147

Collection of Python learning resources

Sparse matrix formats for linear algebra supporting scientific and machine learning applications

Scientificcomputingfortherestofus ⭐ 108

Introduction to Scientific Computing 🦊

Xitorch ⭐ 108

Differentiable scientific computing library

Mmtf Pyspark ⭐ 64

Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

NASOQ:Numerically Accurate Sparsity Oriented QP Solver

Fast, Expressive, & High-Performance Programming Language for those who dare

Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.

Elements ⭐ 36

Building blocks for productive research

Another take on Python Data Science

Bandicoot Code ⭐ 21

Bandicoot: C++ library for GPU linear algebra & scientific computing - https://coot.sourceforge.io

Fortnet is a Behler-Parrinello-Neural-Network implementation, written in modern Fortran.

Datascipy ⭐ 20

Data Science with Python

Julia Data Science ⭐ 20

Data science and numerical computing with Julia

Pararealml ⭐ 19

A machine learning boosted parallel-in-time differential equation solver framework.

Mmtf Spark ⭐ 19

Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

A fast, pure python implementation of the MuyGPs Gaussian process realization and training algorithm.

Galevo23 Tutorials ⭐ 16

Tutorials for the KITP Galevo23 program

Pypermut ⭐ 15

PyPermut is a Python package for permutation tests, for statistics and machine learning.

Robust neural network surrogate for inertial confinement fusion

Virtual Intelligence ⭐ 15

An open source machine learning framework in .net core

Datafold ⭐ 14

Extended Dynamic Mode Decomposition to extract analytical and predictive from time series data (with dictionary learning, control and streaming options) . Diffusion Maps to extract geometric description from data.

Pythonbook ⭐ 14

Computación Científica con Python

Owl_symbolic ⭐ 12

Connect Owl with other accelerators and numerical frameworks with symbolic maths

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Nn Benchmark ⭐ 10

An extensible benchmark suite to evaluate data-driven physical simulation

Rindow Openblas ⭐ 9

PHP extension of universal buffer for 1-dimension and OpenBLAS and mathematical library

⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems

Rindow Math Matrix ⭐ 8

The fundamental package for scientific matrix operation

An efficient binary serialization format for numerical data.

Sf_for_beh_ss ⭐ 8

Introducing software development practices and tools for research in the behavioral and social sciences

Machine learning crate in Rust

Intro Sc Python ⭐ 6

Python Tools for Data Science, Machine Learning, and Scientific computing

Poststorm_imagery ⭐ 6

Classification and analysis of post-storm response imagery

Smarttensorstutorials.jl ⭐ 6

Smart Tensors Tutorials

Special functions with hardware acceleration

SIR model parameter estimation using a novel algorithm for differentiated uniformization.

POSITRON: PythOn for Science In The Reblochon cOuNtry

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