autodifferentiation

There are 1 repository under autodifferentiation topic.

coreylowman / dfdx
Deep learning in Rust, with shape checked tensors and neural networks
rust autograd autodiff machine-learning neural-network autodifferentiation rust-lang backpropagation tensor deep-learning deep-neural-networks cuda cuda-kernels cuda-support cuda-toolkit gpu gpu-acceleration gpu-computing cudnn
Language:Rust 1618
autodiff / autodiff
automatic differentiation made easier for C++
automatic-differentiation auto-differentiation autodiff autodifferentiation differentiation derivatives numerical-derivation
Language:C++ 1536
neuronika / neuronika
Tensors and dynamic neural networks in pure Rust.
autodifferentiation deeplearning neural-networks rust rust-sci
Language:Rust 1035
uncertainties
lmfit / uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
uncertainties error-propagation differentiation autodiff autodifferentiation
Language:Python 543
rsokl / MyGrad
Drop-in autodiff for NumPy.
numpy autograd autodifferentiation deep-learning autodiff backpropagate
Language:Python 186
JamesYang007 / FastAD
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
linux cpp17 automatic-differentiation macos derivatives auto-differentiation differentiation autodiff autodifferentiation math
Language:C++ 91
rejuvyesh / PyCallChainRules.jl
Differentiate python calls from Julia
autodifferentiation pytorch julia jax
Language:Julia 56
tiandiweizun / autodiff
200行写一个自动微分工具
autodiff autodifferentiation
Language:Python 43
yizhang-yiz / fazang
Fazang is a Fortran library for reverse-mode automatic differentiation, inspired by Stan/Math library.
autodiff autodifferentiation fortran automatic-differentiation
Language:C 39
abap34 / JITrench.jl
[wip] Lightweight Automatic Differentiation & DeepLearning Framework implemented in pure Julia.
julia ai autodifferentiation deep-learning machine-learning math optimization
Language:Julia 30
Renovamen / flint
A toy deep learning framework implemented in pure Numpy from scratch. Aka homemade PyTorch lol.
autodiff autodifferentiation autograd deep-learning neural-network numpy
Language:Python 30
3outeille / Yaae
Yaae: Yet another autodiff engine (written in Numpy).
autodifferentiation autograd numpy python
Language:Python 27
bpesquet / pyfit
A minimalist neural networks library built on a tiny autograd engine
python autodifferentiation neural-networks machine-learning
Language:Jupyter Notebook 16
Nicholaswogan / ForwardDiff
Forward mode automatic differentiation for Fortran
autodiff autodifferentiation automatic-differentiation differential-equations
Language:Fortran 16
HyperJet
oberbichler / HyperJet
Algorithmic differentiation with hyper-dual numbers in C++ and Python
algorithmic-differentiation auto-differentiation autodiff autodifferentiation automatic-differentiation derivatives differentiation dual-numbers gradient hessian hyper-dual-numbers numerical-derivation
Language:C++ 13
scala-infer / scala-infer
Scala embedded universal probabilistic programming language
scala probabilistic probabilistic-programming-language dsl autodiff autodifferentiation bayesian-inference variational-inference variational-bayes
Language:Scala 11
codereckons / fluxion
C++20 numerical and analytical derivative computations
autodiff autodifferentiation cpp cpp20 cpp20-library simd
Language:C++ 9
RSuryaNarayan / CEMA
Chemical Explosive Mode Analysis for computational/experimental combustion diagnostics using Julia SciML features
autodifferentiation combustion diagnostics jacobian julia
Language:Jupyter Notebook 9
sreenivasanramesh / MachineLearningSystems
Assignments for Data Intensive Systems for Machine Learning Coursework
deep-learning machine-learning-systems autodifferentiation autodiff tvm glow graph-executor matrix-multiplication
Language:Python 7
forward-gradient
gbelouze / forward-gradient
Experiments with forward gradients on optimization test functions
autodifferentiation benchmarking optimization-methods reproducible-research
Language:Python 6
rillki / tiny-autodiff
A tiny autograd library made for educational purposes.
autodiff autodifferentiation autograd automatic-differentiation d-programming-language dlang tensors
Language:D 6
Eshaancoding / AutoDiff
Automatic differentiation: A tool that allows you to calculate multivariable equations, vectors, matrices, and more. All done in C++, no libraries!
autodiff autodifferentiation cplusplus-11 advanced-programming
Language:C++ 5
F1Method.jl
briochemc / F1Method.jl
F-1 method
julia optimization solver iterative-methods dual-numbers hyperdual-numbers autodifferentiation sensitivity-analysis modeling optimizer efficient
Language:Julia 4
isaacveg / Yacc-lex-for-reversed-automatic-differentiation
yacc lex for reversed automatic differentiation
yacc-lex gcc autodifferentiation
Language:C 4
metabolize-forks / chumpy
Fork of Matt Loper's autodifferentiation framework for Python
autodifferentiation
Language:Python 4
oberbichler / HyperGraph
Reversed mode second order automatic differentiation for python (WIP)
auto-differentiation autodiff autodifferentiation automatic-differentiation derivatives differentiation gradient hessian numerical-derivation
Language:C++ 4
ahmadyan / Jet
Autodifferentiation engine forked from Ceres-Solver
autodifferentiation autodiff optimization derivatives gradient-descent machine-learning deep-learning ceres-solver ceres-example
Language:C++ 3
theolepage / tensorflood
Tiny automatic differentiation (autodiff) engine for NumPy tensors implemented in Python.
autodiff autodifferentiation machine-learning meta-project-color-f27c41 meta-project-order-3 meta-project-show
Language:Python 3
Howuhh / autograd_but_smaller
Simple implementation of reverse-mode automatic differentiation on numpy arrays
autograd backpropagation autodifferentiation
Language:Jupyter Notebook 2
EnzymeAD / enzyme-dev-docker
🚢 Portable development environment for Enzyme
autodiff autodifferentiation enzyme llvm-enzyme enzyme-ad vscode docker
Language:Dockerfile 1
gden173 / nanograd
A Micrograd inspired (and largely copied) small autodiff engine.
autodifferentiation deep-learning neural-network python pytorch
Language:Jupyter Notebook 1
jaimeliew1 / Dualitic
Dualitic is a Python package for forward mode automatic differentiation using dual numbers.
autodifferentiation
Language:Python 1
marcromani / cascade
Lightweight automatic differentiation and error propagation library
autodiff autodifferentiation autograd automatic-differentiation error-propagation uncertainty-propagation automaticdifferentiation cplusplus cplusplus-17 uncertainties
Language:C++ 1
michaellavelle-archive / autograd
A tiny autograd adapter implemented in Java with PyTorch-like API.
autodifferentiation autograd
Language:Java 1
rixsilverith / nablagrad
Yet another automatic differentiation engine to perform efficient and analytically precise partial differentiation of mathematical expressions.
autodiff autodifferentiation automatic-differentiation forward-mode forward-mode-autodiff reverse-mode reverse-mode-autodiff
Language:C++ 1
shenxiangzhuang / toydl
toydl: toy deep learning algorithms implementation, backend with self implement toy torch
autodifferentiation autograd deep-learning python torch toy-project toydl
Language:Python 1