breandan/kotlingrad

🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types

Language: Kotlin - Size: 288 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 537 - Forks: 22

grimme-lab/dxtb

Efficient And Fully Differentiable Extended Tight-Binding

Language: Python - Size: 3.31 MB - Last synced at: 28 days ago - Pushed at: about 1 month ago - Stars: 90 - Forks: 16

auto-differentiation/QuantLib-Risks-Py

Fast Risks with QuantLib in Python

Language: Python - Size: 4.13 MB - Last synced at: 21 days ago - Pushed at: about 1 year ago - Stars: 15 - Forks: 3

pranftw/neograd

A deep learning framework created from scratch with Python and NumPy

Language: Python - Size: 1.19 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 235 - Forks: 9

ameritusweb/ParallelReverseAutoDiff

Parallel Reverse Mode Automatic Differentiation in C# for Custom Neural Network Development

Language: C# - Size: 115 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 1

JuliaDiff/TaylorSeries.jl

Taylor polynomial expansions in one and several independent variables.

Language: Julia - Size: 5.09 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 357 - Forks: 53

auto-differentiation/xad-py

High-Performance Automatic Differentiation for Python

Language: Python - Size: 157 KB - Last synced at: 21 days ago - Pushed at: 10 months ago - Stars: 13 - Forks: 1

google/tangent 📦

Source-to-Source Debuggable Derivatives in Pure Python

Language: Python - Size: 24.6 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 2,316 - Forks: 435

synnada-ai/mithril

Mithril: A Modular Machine Learning Library for Model Composability

Language: Python - Size: 4.35 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 102 - Forks: 19

tencent-quantum-lab/tensorcircuit

Tensor network based quantum software framework for the NISQ era

Language: Python - Size: 13.4 MB - Last synced at: 29 days ago - Pushed at: 2 months ago - Stars: 311 - Forks: 82

kthohr/optim

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

Language: C++ - Size: 11.7 MB - Last synced at: 30 days ago - Pushed at: about 1 year ago - Stars: 853 - Forks: 140

wissem01chiha/dynamapp

differentiable package for state representation and identification of multibody dynamics

Language: Python - Size: 265 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 18 - Forks: 1

kailaix/ADCME.jl

Automatic Differentiation Library for Computational and Mathematical Engineering

Language: Julia - Size: 144 MB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 302 - Forks: 59

tumaer/JAXFLUIDS

Differentiable Fluid Dynamics Package

Language: Python - Size: 12.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 402 - Forks: 72

tad-mctc/tad-mctc

PyTorch Automatic Differentiation Utility for "tad" Projects.

Language: Python - Size: 548 KB - Last synced at: 12 days ago - Pushed at: 20 days ago - Stars: 2 - Forks: 1

pmocz/advectiondiffusion-jax

Solve the advection diffusion equations looped into an optimization problem with JAX/autodiff

Language: Python - Size: 371 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 11 - Forks: 3

KeitaNakamura/Tensorial.jl

Statically sized tensors and related operations for Julia

Language: Julia - Size: 4.26 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 58 - Forks: 3

SINTEF-AppliedCompSci/MRST

Official GitHub repository for MRST - the MATLAB Reservoir Simulation Toolbox

Language: MATLAB - Size: 330 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 79 - Forks: 28

ergodicio/tsadar

The Thomson scattering diagnostic offers a method by which to infer plasma parameters such as n_e, T_e. This approach uses the form factor equations to estimate those plasma parameters by fitting to observed Thomson scattering spectra.

Language: Python - Size: 116 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 4

alexfikl/pyshocks

Automatic Differentiation + Adjoint + Shocks Experiments

Language: Python - Size: 929 KB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 2

JuliaDecisionFocusedLearning/InferOpt.jl

Combinatorial optimization layers for machine learning pipelines

Language: Julia - Size: 1.38 MB - Last synced at: 25 days ago - Pushed at: 2 months ago - Stars: 124 - Forks: 4

fjosw/pyerrors

Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.

Language: Python - Size: 22.8 MB - Last synced at: 28 days ago - Pushed at: about 2 months ago - Stars: 47 - Forks: 16

machine-learning-from-scratch/gardenpy

An automatic differentiation library with implemented machine learning algorithms.

Language: Python - Size: 41.9 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

GaoyuanWu/JaxSSO

A differentiable finite element analysis solver for structural optimization based on JAX

Language: Jupyter Notebook - Size: 89.3 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 29 - Forks: 0

PerezHz/TaylorIntegration.jl

ODE integration using Taylor's method, and more, in Julia

Language: Julia - Size: 450 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 132 - Forks: 24

brianberns/AutoDiff

Language: F# - Size: 30.3 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

joaoleal/CppADCodeGen

Source Code Generation for Automatic Differentiation using Operator Overloading

Language: C++ - Size: 14.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 180 - Forks: 39

sail-sg/autofd

Automatic Functional Differentiation in JAX

Language: Python - Size: 286 KB - Last synced at: 17 days ago - Pushed at: 3 months ago - Stars: 72 - Forks: 1

JoshuaLampert/SimpleAutoDiff.jl

Simple forward-mode automatic differentiaton (AD) for learning and teaching

Language: Julia - Size: 40 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

georgkordowich/diffpssi

A Python based framework for differentiable power system simulation and dynamic optimization

Language: Python - Size: 4.91 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

patr-schm/TinyAD

Automatic Differentiation in Geometry Processing Made Simple

Language: C++ - Size: 1.03 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 390 - Forks: 18

tad-mctc/tad-multicharge

PyTorch Autodiff Multicharge (Classical Charge Models).

Language: Python - Size: 193 KB - Last synced at: 8 days ago - Pushed at: 20 days ago - Stars: 3 - Forks: 1

alonfnt/bayex

Minimal Implementation of Bayesian Optimization in JAX

Language: Python - Size: 370 KB - Last synced at: 28 days ago - Pushed at: about 2 months ago - Stars: 95 - Forks: 3

marius311/CMBLensing.jl

The automatically differentiable and GPU-compatible toolkit for CMB analysis.

Language: Julia - Size: 308 MB - Last synced at: 17 days ago - Pushed at: 8 months ago - Stars: 50 - Forks: 11

eliben/radgrad

Tracing-based reverse mode automatic differentiation (like autograd!)

Language: Python - Size: 179 KB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 19 - Forks: 1

mstksg/backprop

Heterogeneous automatic differentiation ("backpropagation") in Haskell

Language: Haskell - Size: 11.1 MB - Last synced at: 19 days ago - Pushed at: 12 months ago - Stars: 188 - Forks: 22

Ferrite-FEM/Tensors.jl

Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.

Language: Julia - Size: 1.83 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 180 - Forks: 38

raskr/rust-autograd

Tensors and differentiable operations (like TensorFlow) in Rust

Language: Rust - Size: 1000 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 494 - Forks: 36

JuliaDiff/TaylorDiff.jl

Taylor-mode automatic differentiation for higher-order derivatives

Language: Julia - Size: 1.02 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 79 - Forks: 11

roflmaostc/RadonKA.jl

A simple yet sufficiently fast (attenuated) Radon and backproject implementation using KernelAbstractions.jl. Runs on CPU, CUDA, ...

Language: Julia - Size: 10.8 MB - Last synced at: 3 days ago - Pushed at: about 2 months ago - Stars: 17 - Forks: 1

noblec04/MatlabGP

Flexible Gaussian Process model with user friendly kernel and mean function construction inspired by STHENO.

Language: MATLAB - Size: 13.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 5 - Forks: 0

alisiahkoohi/groundwater

Groundwater flow equation: Finite-difference forward, adjoint, and gradient operators with PyTorch wrapper

Language: Python - Size: 41 KB - Last synced at: about 17 hours ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

JuliaDiff/ChainRulesTestUtils.jl

Utilities for testing custom AD primitives.

Language: Julia - Size: 1.39 MB - Last synced at: 23 days ago - Pushed at: 2 months ago - Stars: 50 - Forks: 17

dfdx/Yota.jl

Reverse-mode automatic differentiation in Julia

Language: Julia - Size: 866 KB - Last synced at: 13 days ago - Pushed at: almost 2 years ago - Stars: 160 - Forks: 12

JuliaNonconvex/Nonconvex.jl

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

Language: Julia - Size: 2.31 MB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 116 - Forks: 10

rdguerrerom/AutoDiff

A comprehensive C++ framework for automatic differentiation supporting both forward and reverse modes with exceptional performance. Designed with solid software engineering principles, AutoDiff provides exact derivatives of arbitrary functions with machine precision through dual numbers and computational graphs.

Language: C++ - Size: 223 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

alexshtf/autodiff

A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.

Language: C# - Size: 1.12 MB - Last synced at: 1 day ago - Pushed at: about 2 years ago - Stars: 96 - Forks: 12

kirkegaardlab/recloc

Official code for the paper Local Clustering and Global Spreading of Receptors for Optimal Spatial Gradient Sensing (PRL 2025). Includes simulations and visualizations for optimizing receptor placement on cell surfaces.

Language: Python - Size: 28.3 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

yibocat/MohuPy

q-Rung orthopair fuzzy mathematical operation library and q-Rung orthopair fuzzy sets mathematical operation library.

Language: Python - Size: 14.9 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 1

JuliaDecisionFocusedLearning/DifferentiableFrankWolfe.jl

Differentiable wrapper for FrankWolfe.jl convex optimization routines

Language: Julia - Size: 566 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 7 - Forks: 0

dacelib/dace

Differential Algebra Computational Toolbox

Language: C - Size: 4.28 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 38 - Forks: 16

gdalle/AutodiffTutorial

A tutorial on Automatic Differentiation

Language: Julia - Size: 5.86 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 0

palle-k/DL4S

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

Language: Swift - Size: 19.5 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 108 - Forks: 13

AkiRusProd/numpy-nn-model

Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

Language: Python - Size: 335 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 72 - Forks: 5

Edward-Ji/minute-grad

A CPU implementation of an automatic differentiation framework for deep learning.

Language: Python - Size: 74 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ayhem18/TinyAD

A simple Python library to better understand automatic Differentiation

Language: Python - Size: 122 KB - Last synced at: 18 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

AlabamaASRL/asset_asrl

Language: C++ - Size: 99.2 MB - Last synced at: 7 days ago - Pushed at: 9 months ago - Stars: 36 - Forks: 8

tad-mctc/tad-dftd3 Fork of dftd3/tad-dftd3

PyTorch Autodiff DFT-D3 Implementation.

Language: Python - Size: 1.34 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

dftd3/tad-dftd3

PyTorch Autodiff DFT-D3 Implementation.

Language: Python - Size: 1.34 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 18 - Forks: 6

djmaxus/autodj

Automatic Differentiation Library

Language: Rust - Size: 238 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 10 - Forks: 0

refraction-ray/admf

Automatic Differentiation Mean Field Approach

Language: Python - Size: 24.4 KB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 2

bertoldi-collab/DifFlexMM

Differentiable Flexible Mechanical Metamaterials

Language: Jupyter Notebook - Size: 38.2 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 19 - Forks: 5

nbouziani/seismic-inversion

Seismic inversion using a neural network regulariser implemented as an ExternalOperator in Firedrake

Language: Python - Size: 47.9 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 4

can-lehmann/exprgrad

An experimental deep learning framework for Nim based on a differentiable array programming language

Language: Nim - Size: 303 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 121 - Forks: 1

tad-mctc/tad-dftd4 Fork of dftd4/tad-dftd4

PyTorch Autodiff DFT-D4 Implementation.

Language: Python - Size: 784 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

dftd4/tad-dftd4

PyTorch Autodiff DFT-D4 Implementation.

Language: Python - Size: 795 KB - Last synced at: 19 days ago - Pushed at: 20 days ago - Stars: 19 - Forks: 4

exanauts/ColPack.jl

A Julia interface to the C++ library ColPack for graph and sparse matrix coloring.

Language: Julia - Size: 306 KB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 6 - Forks: 0

Taehooie/CGChoiceModel

Computational graph-based discrete choice models

Language: Python - Size: 2.22 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 12 - Forks: 9

Eric-Bradford/Nominal_NMPC

A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation

Language: Python - Size: 12.7 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 50 - Forks: 6

tensor-fusion/microhaskell

Small autodiff lib and a simple working feedforward neural net in Haskell on top of it, from scratch, zero-deps.

Language: Haskell - Size: 596 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 0

mcabbott/SliceMap.jl

Same-same but different

Language: Julia - Size: 73.2 KB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 31 - Forks: 3

adtzlr/hyperelastic

Constitutive hyperelastic material formulations for FElupe.

Language: Python - Size: 568 KB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 10 - Forks: 1

surban/TensorAlgDiff

Automatic Differentiation for Tensor Algebras

Language: F# - Size: 593 KB - Last synced at: 16 days ago - Pushed at: about 7 years ago - Stars: 28 - Forks: 3

roastduck/FreeTensor

A language and compiler for irregular tensor programs.

Language: C++ - Size: 3.02 GB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 138 - Forks: 10

Nicholaswogan/Differentia

Forward mode automatic differentiation for Fortran

Language: Fortran - Size: 80.1 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 18 - Forks: 2

Kartz4code/CoolDiff

CoolDiff is a C++ 17 library dedicated to compute both automatic as well as symbolic differentiation of mathematical expressions.

Language: C++ - Size: 657 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

avigliotti/AD4SM.jl

Automatic Differentiation for Solid Mechanics

Language: Julia - Size: 49.6 MB - Last synced at: 19 days ago - Pushed at: 7 months ago - Stars: 55 - Forks: 8

refraction-ray/admc

Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution

Size: 115 KB - Last synced at: 13 days ago - Pushed at: about 2 years ago - Stars: 23 - Forks: 4

SuperKogito/Zorch

Neural networks in Zig

Language: Zig - Size: 3.07 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

LukasMosser/DeepFlow

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

Language: MATLAB - Size: 184 MB - Last synced at: 2 months ago - Pushed at: almost 6 years ago - Stars: 34 - Forks: 13

sueszli/autodiff

minimal forward-mode automatic differentiation using python's abstract syntax tree

Language: Python - Size: 83 KB - Last synced at: 18 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

dftlibs/xcfun

XCFun: A library of exchange-correlation functionals with arbitrary-order derivatives

Language: C++ - Size: 1.28 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 60 - Forks: 32

JonathanRaiman/theano_lstm

:microscope: Nano size Theano LSTM module

Language: Python - Size: 91.8 KB - Last synced at: 28 days ago - Pushed at: over 8 years ago - Stars: 303 - Forks: 112

mclements/mercury-ad

Mercury library for automatic differentiation

Language: Mercury - Size: 61.5 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

erostedt/autocrab

Forward mode automatic differentiation in Rust

Language: Rust - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

adtzlr/tensortrax

Differentiable Tensors based on NumPy Arrays

Language: Python - Size: 465 KB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 8 - Forks: 0

dmbates/NLreg.jl

Nonlinear regression in Julia

Language: Julia - Size: 772 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 18 - Forks: 7

jfriedlein/AceGen-GettingStarted

Some basic examples to get started with Mathematica+AceGen to build functions, material models, element formulations for Matlab/Fortran/C++

Language: Mathematica - Size: 3.79 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

i-a-morozov/ndmap

Higher order partial derivatives computation with respect to one or several tensor-like variables, applications to nonlinear dynamics

Language: Python - Size: 24.1 MB - Last synced at: 22 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

neluca/regrad

A small, elegant and visulized implementation of reverse mode autograd that is distinct from Karpathy's micrograd. Zero dependency.

Language: Python - Size: 568 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

andreaslam/TensorOps

TensorOps - A Work-In-Progress Autograd Library

Language: Python - Size: 11.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

k-karna/learning_jax

Key concepts from documentation with toy illustration

Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

jkoendev/optimal-control-literature-software

List of literature and software for optimal control and numerical optimization.

Size: 51.8 KB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 74 - Forks: 13

ExcessPhase/ctaylor

Dual number classes for automatic differentiation including for higher order derivatives

Language: C++ - Size: 1.14 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

RafaelArutjunjan/DerivableFunctions.jl

Backend-agnostic differentiation with symbolic pass-through in Julia.

Language: Julia - Size: 176 KB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

jasmcaus/hazel

A Tensor Library written in C++.

Language: C++ - Size: 28.3 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 3

msakai/nonlinear-optimization-ad

Several Haskell packages for numerical optimizations.

Language: Haskell - Size: 286 KB - Last synced at: 13 days ago - Pushed at: 4 months ago - Stars: 8 - Forks: 1

psipred/cgdms

Differentiable molecular simulation of proteins with a coarse-grained potential

Language: Python - Size: 47.9 MB - Last synced at: 16 days ago - Pushed at: 3 months ago - Stars: 55 - Forks: 4

austinagii/Ember

Ember is a lightweight C++ library, providing a streamlined implementation of backpropagation with reverse mode automatic differentiation

Language: C++ - Size: 135 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

JuliaTeachingCTU/Scientific-Programming-in-Julia

Repository for B0M36SPJ

Language: Jupyter Notebook - Size: 66.8 MB - Last synced at: 27 days ago - Pushed at: 6 months ago - Stars: 85 - Forks: 15