GitHub topics: automatic-differentiation

Repositories

SciCompKL/derivgrind

Automatic differentiation of compiled programs using the Valgrind framework.

Language: C - Size: 47.5 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 3

juniorrojas/hookean-springs-pytorch

Hookean springs in PyTorch

Language: Python - Size: 1.89 MB - Last synced at: 13 days ago - Pushed at: 8 months ago - Stars: 53 - Forks: 5

AleMorales/UnitfulDual.jl

Dual numbers compatible with physical units

Language: Julia - Size: 16.6 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 0

dmaivel/cugrad

An automatic differentiation library written in C++ and CUDA

Language: C++ - Size: 8.79 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 3

NickLucche/autograd.rs

Simple Deep Learning library in Rust based on ndarray.

Language: Rust - Size: 773 KB - Last synced at: 18 days ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

MasonProtter/Symbolics.jl

A symbolic math library written in Julia modelled off scmutils

Language: Julia - Size: 155 KB - Last synced at: 18 days ago - Pushed at: about 4 years ago - Stars: 108 - Forks: 16

ThoughtWorksInc/DeepLearning.scala

A simple library for creating complex neural networks

Language: Scala - Size: 7.99 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 768 - Forks: 86

IvanYashchuk/jax-fenics

Differentiable interface to FEniCS for JAX

Language: Python - Size: 67.4 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 53 - Forks: 5

philzook58/ad-lens

Automatic Differentiation using Pseudo Lenses. Neat.

Language: Haskell - Size: 50.8 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 20 - Forks: 1

Taehooie/CGODME

This is an experiment version of calibrating origin-destination matrix estimation using link traffic counts

Language: Python - Size: 546 KB - Last synced at: 13 days ago - Pushed at: 7 months ago - Stars: 3 - Forks: 6

Braden-Griebel/nanograd

Scalar automatic differentiation engine.

Language: C++ - Size: 368 KB - Last synced at: 21 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

anthonyjclark/match

A pure-Python, PyTorch-like automatic differentiation library for education.

Language: Python - Size: 2.64 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

infergo-ml/infergo

mirror of Infergo repository

Language: Go - Size: 791 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 10 - Forks: 1

IlyaOrson/Control-NeuralODE

Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248

Language: Julia - Size: 903 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 16 - Forks: 1

caidao22/pnode

A Python library for training neural ODEs.

Language: Python - Size: 470 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 20 - Forks: 2

gpavanb1/FContin

Numerical Continuation using just the residual. 9k+ downloads

Language: Python - Size: 9.77 KB - Last synced at: 12 days ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 1

JamesYang007/FastAD

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

Language: C++ - Size: 1.13 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 108 - Forks: 3

JamesYang007/autoppl

C++ template library for probabilistic programming

Language: C++ - Size: 2.3 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 47 - Forks: 5

Simple-Robotics/pycppad

Python bindings for CppAD and CppADCodeGen using Boost.Python

Language: C++ - Size: 222 KB - Last synced at: 24 days ago - Pushed at: about 2 months ago - Stars: 20 - Forks: 6

zombieTDV/CNN_and_Beta-VAE-

CNN and Beta-VAE implementation. Only Numpy as the main library.

Language: Python - Size: 132 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

krippner/auto-diff

A modular C++17 framework for automatic differentiation

Language: C++ - Size: 153 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 0

PennyLaneAI/pennylane-rigetti

This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.

Language: Python - Size: 80.4 MB - Last synced at: 12 days ago - Pushed at: about 2 months ago - Stars: 43 - Forks: 28

IvanYashchuk/jax-fenics-adjoint

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

Language: Jupyter Notebook - Size: 110 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 93 - Forks: 12

Haus226/OptViz

Language: Python - Size: 205 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

JuliaManifolds/ManifoldDiff.jl

Differentiation on manifolds

Language: Julia - Size: 11.6 MB - Last synced at: 20 days ago - Pushed at: 5 months ago - Stars: 10 - Forks: 3

dolfinx_materials is a Python add-on package to the dolfinx interface to the FEniCSx project. It enables the user to define complex material constitutive behaviors which are not expressible using classical UFL operators.

Language: Python - Size: 10.1 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 14 - Forks: 4

JuliaDecisionFocusedLearning/DifferentiableExpectations.jl

A Julia package for differentiating through expectations with Monte-Carlo estimates

Language: Julia - Size: 365 KB - Last synced at: 13 days ago - Pushed at: 7 months ago - Stars: 15 - Forks: 0

igorjakus/nomad

Numerical Optimization, Mathematics and Automatic Differentiation library in OCaml!🐫

Language: OCaml - Size: 656 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

chakravala/Grassmann.wl

⟨Leibniz-Grassmann-Clifford⟩ multilinear differential geometric algebra

Language: Mathematica - Size: 111 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 3

lostella/ProtoGrad.jl

Deep learning 99% fat free

Language: Julia - Size: 74.2 KB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 32 - Forks: 1

IvanYashchuk/fecr

Easy interoperability with Automatic Differentiation libraries through NumPy interface to Firedrake and FEniCS

Language: Python - Size: 50.8 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 3

o1lo01ol1o/diffhask

DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp.

Language: Haskell - Size: 160 KB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 27 - Forks: 3

harry7557558/spirulae

GPU-accelerated math function graphers in web browsers, both 3D and 2D.

Language: JavaScript - Size: 4.75 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 28 - Forks: 6

blegat/LSINC1113

Course material for the course LSINC1113 at UCLouvain

Language: Julia - Size: 10.3 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 3

under-Peter/TensorNetworkAD.jl

Algorithms that combine tensor network methods with automatic differentiation

Language: Julia - Size: 146 KB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 93 - Forks: 14

lijianphy/hcore_boson_ad_opt

Quantum optimal control using automatic differentiation

Language: C - Size: 315 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

oberbichler/HyperJet

Algorithmic differentiation with hyper-dual numbers in C++ and Python

Language: C++ - Size: 2.38 MB - Last synced at: 4 days ago - Pushed at: 10 months ago - Stars: 16 - Forks: 4

dragunovdenis/DeepLearning

C++ framework for deep neural networks

Language: C++ - Size: 12.7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

kasselhingee/scorematchingad

R package for score matching by automatic differentiation

Language: C++ - Size: 9.11 MB - Last synced at: 13 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

radenmuaz/slope-ad

A small automatic differentiation engine, supporting higher-order derivatives

Language: Python - Size: 4.54 MB - Last synced at: 13 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1

davepagurek/glsl-autodiff

Tired of doing math to get normals in your vertex shader? Same.

Language: TypeScript - Size: 14.5 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 43 - Forks: 1

fastrgv/DifferentialRPNcalculator

Terminal calculator for Windows/Linux. Answers include an error estimate by the use of differentials.

Language: Ada - Size: 1020 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

ExcessPhase/reverse_mode_automatic_differentiation

A library for reverse mode automatic differentiation

Language: C++ - Size: 1.57 MB - Last synced at: 29 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

sibaku/glsl-autodiff

Automatic differentiation for glsl

Language: GLSL - Size: 43 KB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 28 - Forks: 1

DAFoam/OpenFOAM-v1812-AD

Automatic differentiation of OpenFOAM source code in forward and reverse modes

Language: C++ - Size: 68 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 11 - Forks: 4

mynamesiegfried/Neural-Network-Playground

A visual Deep Learning Framework for the Web - Built with WebGPU, Next.js and ReactFlow.

Language: JavaScript - Size: 3.4 MB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 72 - Forks: 12

ocramz/ad-delcont

Reverse-mode automatic differentiation with delimited continuations

Language: Haskell - Size: 46.9 KB - Last synced at: 29 days ago - Pushed at: almost 2 years ago - Stars: 15 - Forks: 2

tensorlang/tensorlang

Tensorlang, a differentiable programming language based on TensorFlow

Language: Python - Size: 128 MB - Last synced at: 8 days ago - Pushed at: over 7 years ago - Stars: 291 - Forks: 21

yhtang/FunFact

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

Language: Python - Size: 3.2 MB - Last synced at: 6 days ago - Pushed at: almost 3 years ago - Stars: 58 - Forks: 4

jamielohoff/synaptax

The only true e-prop implementation.

Language: Python - Size: 929 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 1

Nectralyx/TensorKit

Language: Swift - Size: 329 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

rigetti/quantumflow

QuantumFlow: A Quantum Algorithms Development Toolkit

Language: Python - Size: 403 KB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 96 - Forks: 21

EmilianoG-byte/opentn

Code for my master thesis at the Scientific Computing chair @ TUM under the supervision of Prof. Christian Mendl

Language: Jupyter Notebook - Size: 36 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 0

mcabbott/LazyStack.jl

🥞

Language: Julia - Size: 93.8 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 28 - Forks: 4

wangleiphy/tensorgrad

Differentiable Programming Tensor Networks

Language: Python - Size: 735 KB - Last synced at: 7 months ago - Pushed at: about 4 years ago - Stars: 140 - Forks: 14

cpp977/Xped

Library for block-sparse symmetric tensors

Language: C++ - Size: 88.5 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 1

joelnmdyer/gradient_assisted_calibration_abm

Code for paper "Gradient-assisted calibration for financial agent-based models"

Language: Jupyter Notebook - Size: 299 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

imurray/chol-rev

Backpropagate derivatives through the Cholesky decomposition

Language: Fortran - Size: 38.1 KB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 58 - Forks: 10

Non-Contradiction/autodiffr

Automatic Differentiation for R

Language: R - Size: 2.19 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 23 - Forks: 2

manufactured-solutions/MASA

Method of Manufactured Solutions Repository

Language: C++ - Size: 4.85 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 49 - Forks: 27

HamletTanyavong/Physics.NET

Physics.NET is a C# class libary that provides tools for solving physics problems.

Language: C# - Size: 6.99 MB - Last synced at: 24 days ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

nanxstats/logreg

Regularized logistic regressions with computational graphs

Language: R - Size: 1.11 MB - Last synced at: 3 days ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

Shreyas911/sicopolis

SImulation COde for POLythermal Ice Sheets (SICOPOLIS) Code and Documentation Repository

Language: Fortran - Size: 31.1 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 0

cesmix-mit/PotentialLearning.jl

PotentialLearning.jl: Optimize your atomistic data and interatomic potential models in your molecular dynamic workflows.

Language: Julia - Size: 116 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 21 - Forks: 10

kul-optec/AbstractOperators.jl

Abstract operators for large scale optimization in Julia

Language: Julia - Size: 950 KB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 30 - Forks: 9

i-a-morozov/model

Simple accelerator lattice model with composable derivatives in pytorch. Computation of parametrix closed orbit, Twiss parameters and other observables.

Language: Python - Size: 60.3 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

EEA-sensors/sqrt-parallel-smoothers

A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algorithms, both in a sequential and parallel fashion, as well as efficient gradient rules for computing gradients of required quantities (such as the pseudo-loglikelihood of the system).

Language: Jupyter Notebook - Size: 68.9 MB - Last synced at: 8 months ago - Pushed at: 12 months ago - Stars: 12 - Forks: 3