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differentiation x

325 search results found

Swift ⭐ 5,940

Swift for TensorFlow

Gorgonia ⭐ 5,330

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

Mindspore ⭐ 3,915

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

Mathnet Numerics ⭐ 3,322

Math.NET Numerics

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Tangent ⭐ 2,066

Source-to-Source Debuggable Derivatives in Pure Python

Autodiff ⭐ 1,454

automatic differentiation made easier for C++

Effectivepytorch ⭐ 1,321

PyTorch tutorials and best practices.

Enoki: structured vectorization and differentiation on modern processor architectures

Recurrentjs ⭐ 864

Deep Recurrent Neural Networks and LSTMs in Javascript. More generally also arbitrary expression graphs with automatic differentiation.

Forwarddiff.jl ⭐ 833

Forward Mode Automatic Differentiation for Julia

Angourimath ⭐ 726

New open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.

Diff Zoo ⭐ 678

Differentiation for Hackers

Pymanopt ⭐ 668

Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation

Aerosandbox ⭐ 573

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

Uncertainties ⭐ 509

Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.

Kotlingrad ⭐ 489

🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types

Nerdamer ⭐ 479

a symbolic math expression evaluator for javascript

Automatic differentiation with weighted finite-state transducers.

Chainrules.jl ⭐ 404

forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

A C++ Algorithmic Differentiation Package: Home Page

Automatic Differentiation

Reversediff.jl ⭐ 327

Reverse Mode Automatic Differentiation for Julia

Tensorlang ⭐ 303

Tensorlang, a differentiable programming language based on TensorFlow

Hypergrad ⭐ 268

Exploring differentiation with respect to hyperparameters

Calculus.jl ⭐ 265

Calculus functions in Julia

Blackbox Backprop ⭐ 262

Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

clad -- automatic differentiation for C/C++

Kayak is a library for automatic differentiation with applications to deep neural networks.

Sparsedifftools.jl ⭐ 228

Fast jacobian computation through sparsity exploitation and matrix coloring

Javascript neural networks on top of general scalar/tensor reverse-mode automatic differentiation.

Awesome Haskell Deep Learning ⭐ 207

In the tradition of "awesome" (curated) lists, this is a list of references and code for doing deep learning in Haskell.

Estimagic ⭐ 204

Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to perform statistical inference on estimated parameters.

Comprehensive automatic differentiation in C++

Cmdstan ⭐ 194

CmdStan, the command line interface to Stan

Nnlib.jl ⭐ 187

Neural Network primitives with multiple backends

Palantir ⭐ 184

Single cell trajectory detection

Numdifftools ⭐ 182

Solve automatic numerical differentiation problems in one or more variables.

Backprop ⭐ 180

Heterogeneous automatic differentiation ("backpropagation") in Haskell

Sinkhornautodiff ⭐ 178

Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

Scientific Computing in Rust

Talk 2018 Essence Of Ad ⭐ 166

The simple essence of automatic differentiation

Tensorflow2 Docs Zh ⭐ 164

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

Autograd.jl ⭐ 160

Julia port of the Python autograd package.

Adcme.jl ⭐ 158

Automatic Differentiation Library for Computational and Mathematical Engineering

Adept 2 ⭐ 154

Combined array and automatic differentiation library in C++

Distributionsad.jl ⭐ 146

Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff

Yota.jl ⭐ 146

Reverse-mode automatic differentiation in Julia

Adjoint ⭐ 144

Thoughts on adjoint, norm and such.

Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++

Pennylane Qiskit ⭐ 141

The PennyLane-Qiskit plugin integrates the Qiskit quantum computing framework and IBM Q with PennyLane's quantum machine learning capabilities.

Lantern ⭐ 139

Jax_cosmo ⭐ 138

A differentiable cosmology library in JAX

Mkl.net ⭐ 132

A simple cross platform .NET API for Intel MKL

Tensorflow Forward Ad ⭐ 130

Forward-mode Automatic Differentiation for TensorFlow

Dysvunctional Language ⭐ 130

Running the code you want to write as fast as the code you have to write

Hamilton ⭐ 121

Simulate physics on generalized coordinate systems using Hamiltonian Mechanics and automatic differentiation. Don't throw away your shot.

Purescript Behaviors ⭐ 120

A simple push-pull FRP implementation

Cppadcodegen ⭐ 119

Source Code Generation for Automatic Differentiation using Operator Overloading

A Package for Automatic Differentiation of Algorithms Written in C/C++

Fractional Differentiation Time Series ⭐ 112

As described in Advances of Machine Learning by Marcos Prado.

Compositional_deep_learning ⭐ 106

Deep learning via category theory and functional programming

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

Ad Handbook ⭐ 96

Automatic Differentiation Handbook

Fast automatic differentiation library in C++

Autoptim ⭐ 91

Automatic differentiation + optimization

Opm Simulators ⭐ 90

Simulator programs and utilities for automatic differentiation.

Math Expressions ⭐ 86

A library for parsing and evaluating mathematical expressions, supporting real numbers, vectors, and basic interval arithmetic.

Pynumdiff ⭐ 85

Methods for numerical differentiation of noisy data in python

Deep.Net machine learning framework for F#

Classical Mechanics ⭐ 82

Haskell toolbox for research and teaching in classical mechanics. Includes modules for symbolic algebra and automatic differentiation.

FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.

Automatic Differentiation Framework ⭐ 81

an automatic differentiation framework with dynamic graph/支持动态图的自动求导框架

Codipack ⭐ 80

Fast gradient evaluation in C++ based on Expression Templates.

A fast and expressive Matlab/MatConvNet deep learning API, with native automatic differentiation

Curveball ⭐ 79

Second-order optimiser for deep networks

Math And Ml Notes ⭐ 77

Books, papers and links to latest research in ML/AI

Tensornetworkad.jl ⭐ 77

Algorithms that combine tensor network methods with automatic differentiation

Dualnumbers.jl ⭐ 73

Julia package for representing dual numbers and for performing dual algebra

Jax Fenics Adjoint ⭐ 71

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

Auxilearn ⭐ 68

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

Diffrules.jl ⭐ 67

A simple shared suite of common derivative definitions

Minigrad ⭐ 66

A minimal implementation of autograd (in pure Python) 🍰

Nabla.jl ⭐ 65

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

Mathexpressions.net ⭐ 62

➗ Library for parsing math expressions with rational numbers, finding their derivatives and compiling an optimal IL code

AD Model Builder

Header only, C++ library (and the Python pyaudi package) implementing the algebra of Taylor truncated polynomials and a few algorithms useful for its applications (Differential Intelligence, automatic differentiation, Taylor Models, etc.)

Autodiff ⭐ 58

Rudimentary automatic differentiation framework

Pennylane Lightning ⭐ 55

The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane

An R interface to enrichR

Capstan.jl ⭐ 54

A Cassette-based automatic differentiation package for the Julia language

Blackbox Deep Graph Matching ⭐ 53

Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

A platform independent tensor library with autograd for the JVM

Modern Fortran Numerical Differentiation Library

Stalingrad ⭐ 50

Stalin∇, a brutally optimizing compiler for the VLAD language

Autodiff ⭐ 50

Automatic Differentiation via Contour Integration

xFunc provides a powerful parser and analyzer for mathematical expressions. It excels at calculating derivatives, simplifying expressions, and achieving high performance.

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