239 Open source projects that are alternatives of or similar to Tensors.jl

Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.

Finite Element tools in Julia

Local, global, and beyond optimization for scientific machine learning (SciML)

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

Causing: CAUsal INterpretation using Graphs

Differential Algebra Computational Toolbox

A julia package for Taylor polynomial expansions in one and several independent variables.

A operator overloading, tape-based, reverse-mode AD

A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows

A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

Julia port of the Python autograd package.

Bayesian Optimization in JAX

MacroUtils is a collection of high-level APIs in order to make your life easier when writing STAR-CCM+ JAVA macros.

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

Automatic Differentiation Library for Computational and Mathematical Engineering

N-dimensional matrix class for Rust

Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution

A numerical optimisation and deep learning framework for D.

Source Code Generation for Automatic Differentiation using Operator Overloading

Abstract operators for large scale optimization in Julia

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

Algorithms that combine tensor network methods with automatic differentiation

Reverse Mode Automatic Differentiation for Julia

High-performance automatic differentiation of LLVM.

Repository for B0M36SPJ

Owl's OCaml Interface to Eigen3 C++ Library

A concise C++17 implementation of automatic differentiation (operator overloading)

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Differentiable molecular simulation of proteins with a coarse-grained potential

Basic Tensor Algebra Subroutines

Experimental tensor-typed deep learning

Differentiable interface to FEniCS for JAX using dolfin-adjoint/pyadjoint

Julia package for tensor contractions and related operations

Method of Manufactured Solutions Repository

Deep learning with spiking neural networks (SNNs) in PyTorch.

Intimate Affection Auditor

Scientific computing with N-dimensional arrays

A Simple Finite Element Method program (AsFem)

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

MagIC is a high-performance code that solves the magneto-hydrodynamics equations in rotating spherical shells

l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust

A simple library for creating complex neural networks

Range Software - Finite Element Analysis

Gorgonia is a library that helps facilitate machine learning in Go.

Deep.Net machine learning framework for F#

The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control

A Python module for compiling PyTorch graphs to C

Aircraft design optimization made fast through modern automatic differentiation. Plug-and-play analysis tools for aerodynamics, propulsion, structures, trajectory design, and much, much more.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Forward Mode Automatic Differentiation for Julia

MATLAB Tensor Tools

The fast Finite Volume simulator with UQ support.

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

Unstructured Compressible Navier Stokes 3D code (UCNS3D)

OpenFoam postprocessing python tool

Solver for wind farm simulations targeting exascale computational platforms

ADAM implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.

M.I.T General Circulation Model master code and documentation repository

Shape-Safe Symbolic Differentiation with Algebraic Data Types