Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with autodiff
A curated list of projects in awesome lists tagged with autodiff .
https://github.com/tracel-ai/burn
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
autodiff autotune concurrency cross-platform deep-learning high-performance kernel-fusion llm machine-learning ndarray neural-network onnx pytorch rust scientific-computing tensor wasm webgpu
Last synced: 16 Dec 2024
https://github.com/google/tangent
Source-to-Source Debuggable Derivatives in Pure Python
autodiff automatic-differentiation deep-learning machine-learning
Last synced: 26 Sep 2024
https://github.com/coreylowman/dfdx
Deep learning in Rust, with shape checked tensors and neural networks
autodiff autodifferentiation autograd backpropagation cuda cuda-kernels cuda-support cuda-toolkit cudnn deep-learning deep-neural-networks gpu gpu-acceleration gpu-computing machine-learning neural-network rust rust-lang tensor
Last synced: 17 Dec 2024
https://github.com/autodiff/autodiff
automatic differentiation made easier for C++
auto-differentiation autodiff autodifferentiation automatic-differentiation derivatives differentiation numerical-derivation
Last synced: 19 Dec 2024
https://github.com/DiffSharp/DiffSharp
DiffSharp: Differentiable Functional Programming
autodiff deep-learning dotnet gpu machine-learning neural-network tensor
Last synced: 09 Nov 2024
https://diffsharp.github.io/DiffSharp/
DiffSharp: Differentiable Functional Programming
autodiff deep-learning dotnet gpu machine-learning neural-network tensor
Last synced: 02 Nov 2024
https://github.com/lmfit/uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
autodiff autodifferentiation differentiation error-propagation uncertainties
Last synced: 15 Dec 2024
https://github.com/cpfiffer/julia-bootcamp-2022
autodiff bayesian-statistics econometrics julia numerical-optimization statistics
Last synced: 15 Dec 2024
https://github.com/microsoft/Trace
End-to-end Generative Optimization for AI Agents
agentic-agi agentic-workflow agents ai autodiff compound-systems end-to-end generative-optimization large-language-models llm machine-learning optimization optimizer prompt-optimization python
Last synced: 09 Dec 2024
https://github.com/microsoft/trace
End-to-end Generative Optimization for AI Agents
agentic-agi agentic-workflow agents ai autodiff compound-systems end-to-end generative-optimization large-language-models llm machine-learning optimization optimizer prompt-optimization python
Last synced: 13 Dec 2024
https://github.com/google/autobound
AutoBound automatically computes upper and lower bounds on functions.
autodiff interval-arithmetic jax
Last synced: 09 Nov 2024
https://github.com/leopard-ai/betty
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
artificial-intelligence autodiff automatic-differentiation bilevel-optimization deep-learning hyperparameter-optimization implicit-differentiation machine-learning meta-learning multilevel-optimization neural-architecture-search pytorch reinforcement-learning
Last synced: 10 Nov 2024
https://github.com/rsokl/mygrad
Drop-in autodiff for NumPy.
autodiff autodifferentiation autograd backpropagate deep-learning numpy
Last synced: 21 Dec 2024
https://github.com/juliadiff/differentiationinterface.jl
An interface to various automatic differentiation backends in Julia.
ad autodiff automatic-differentiation differentiation julia machine-learning
Last synced: 21 Dec 2024
https://github.com/maciejkula/wyrm
Autodifferentiation package in Rust.
artificial-intelligence autodiff machine-learning neural-networks rust
Last synced: 17 Dec 2024
https://github.com/pennylaneai/catalyst
A JIT compiler for hybrid quantum programs in PennyLane
autodiff automatic-differentiation jax jit llvm mlir pennylane python qir quantum quantum-compiler quantum-computing
Last synced: 21 Dec 2024
https://github.com/juliadecisionfocusedlearning/implicitdifferentiation.jl
Automatic differentiation of implicit functions
autodiff automatic-differentiation implicit julia machine-learning optimization
Last synced: 15 Dec 2024
https://github.com/can-lehmann/exprgrad
An experimental deep learning framework for Nim based on a differentiable array programming language
autodiff automatic-differentiation compiler deep-learning dsl gradient llvm machine-learning ml neural-network nim opencl tensor
Last synced: 01 Nov 2024
https://github.com/lawmurray/birch
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
autodiff bayesian bayesian-inference bayesian-methods bayesian-statistics data-science machine-learning machine-learning-algorithms machine-learning-projects monte-carlo-methods monte-carlo-sampling probabilistic-programming-languages statistics
Last synced: 17 Dec 2024
https://github.com/TilliFe/Infermo
Tensors and dynamic Neural Networks in Mojo
ai autodiff autograd autograd-engine automatic-differentiation conv2d deep-learning ml mlp mnist modular mojo neural-network training transformer
Last synced: 24 Sep 2024
https://github.com/lawmurray/Birch
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
autodiff bayesian bayesian-inference bayesian-methods bayesian-statistics data-science machine-learning machine-learning-algorithms machine-learning-projects monte-carlo-methods monte-carlo-sampling probabilistic-programming-languages statistics
Last synced: 30 Oct 2024
https://github.com/pymc-devs/sunode
Solve ODEs fast, with support for PyMC
autodiff ordinary-differential-equations pymc sundials
Last synced: 30 Oct 2024
https://github.com/pierreablin/autoptim
Automatic differentiation + optimization
Last synced: 16 Nov 2024
https://github.com/gdalle/differentiationinterface.jl
An interface to various automatic differentiation backends in Julia.
ad autodiff automatic-differentiation differentiation julia machine-learning
Last synced: 26 Oct 2024
https://github.com/jamesyang007/fastad
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
auto-differentiation autodiff autodifferentiation automatic-differentiation cpp17 derivatives differentiation linux macos math
Last synced: 27 Oct 2024
https://github.com/alexshtf/autodiff
A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.
autodiff automatic-differentiation gradient math mathematical-modelling mathematics optimization
Last synced: 18 Dec 2024
https://github.com/invenia/nabla.jl
A operator overloading, tape-based, reverse-mode AD
autodiff automatic-differentiation julia julia-language
Last synced: 30 Sep 2024
https://github.com/juliadiff/chainrulestestutils.jl
Utilities for testing custom AD primitives.
autodiff automatic-differentiation hacktoberfest
Last synced: 08 Nov 2024
https://github.com/JuliaDiff/ChainRulesTestUtils.jl
Utilities for testing custom AD primitives.
autodiff automatic-differentiation hacktoberfest
Last synced: 30 Oct 2024
https://github.com/sciml/adtypes.jl
Repository for automatic differentiation backend types
autodiff automatic-differentiation julia
Last synced: 20 Dec 2024
https://github.com/yizhang-yiz/fazang
Fazang is a Fortran library for reverse-mode automatic differentiation, inspired by Stan/Math library.
autodiff autodifferentiation automatic-differentiation fortran
Last synced: 12 Nov 2024
https://github.com/juliaastrosim/astronbodysim.jl
Unitful and differentiable gravitational N-body simulation code in Julia
astronomy astrophysics autodiff gpu-computing julia nbody-gravity-simulation simulation unitful
Last synced: 03 Dec 2024
https://github.com/giggleliu/backwardslinalg.jl
Auto differentiation over linear algebras (a Zygote extension)
autodiff flux linear-algebra machine-learning
Last synced: 06 Nov 2024
https://github.com/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
Last synced: 10 Nov 2024
https://github.com/ise-uiuc/nablafuzz
Fuzzing Automatic Differentiation in Deep-Learning Libraries (ICSE'23)
autodiff autograd deep-learning fuzzing jax oneflow pytorch tensorflow
Last synced: 19 Nov 2024
https://github.com/elinx/ugrad
A C++ implementation of the scalar-valued autograd engine micrograd
autodiff autograd deep-learning machine-learning-systems micrograd tinygrad
Last synced: 30 Oct 2024
https://github.com/gdalle/sparsematrixcolorings.jl
Coloring algorithms for sparse Jacobian and Hessian matrices
autodiff automatic-differentiation coloring graph greedy sparse
Last synced: 11 Nov 2024
https://github.com/camdavidsonpilon/autograd-gamma
NotImplementedError: VJP of gammainc wrt argnum 0 not defined
autodiff autograd beta derivative gamma
Last synced: 28 Oct 2024
https://github.com/juliadecisionfocusedlearning/differentiableexpectations.jl
A Julia package for differentiating through expectations with Monte-Carlo estimates
autodiff automatic-differentiation expectation julia monte-carlo reinforce reparametrization
Last synced: 12 Oct 2024
https://github.com/3outeille/ganumpy
A Numpy implementation of a Generative Adversarial Network.
autodiff deeplearning gan mnist numpy python yaae
Last synced: 28 Nov 2024
https://github.com/tensor-fusion/microhaskell
Small autodiff lib and a simple working feedforward neural net in Haskell on top of it, from scratch, zero-deps.
autodiff automatic-differentiation haskell mlp neural-network
Last synced: 12 Oct 2024
https://github.com/niklasschmitz/ad-kernels
Code for the paper "Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields"
autodiff differential-equations gaussian-processes jax quantum-chemistry
Last synced: 22 Nov 2024
https://github.com/juliadecisionfocusedlearning/differentiablefrankwolfe.jl
Differentiable wrapper for FrankWolfe.jl convex optimization routines
autodiff automatic-differentiation convex frank-wolfe implicit julia optimization
Last synced: 05 Nov 2024
https://github.com/juliadecisionfocusedlearning/decisionfocusedlearningbenchmarks.jl
Benchmarks for decision-focused learning
autodiff combinatorics graphs julia machine-learning optimization
Last synced: 12 Oct 2024
https://github.com/juliadecisionfocusedlearning/inferoptbenchmarks.jl
Benchmarks for decision-focused learning
autodiff combinatorics graphs julia machine-learning optimization
Last synced: 29 Sep 2024
https://github.com/eshaancoding/autodiff
Automatic differentiation: A tool that allows you to calculate multivariable equations, vectors, matrices, and more. All done in C++, no libraries!
advanced-programming autodiff autodifferentiation cplusplus-11
Last synced: 12 Oct 2024
https://github.com/aevyrie/ezdiff
A tiny autodiff library for learning
autodiff automatic-differentiation math rust
Last synced: 30 Oct 2024
https://github.com/jaketae/pygrad
Pure Python autograd library based on NumPy
Last synced: 30 Nov 2024
https://github.com/hzdr/autodiff101
An introduction to Automatic Differentiation with theory and code examples.
autodiff autograd automatic-differentiation jax pytorch
Last synced: 14 Nov 2024
https://github.com/gdalle/autodifftutorial
A tutorial on Automatic Differentiation
autodiff automatic-differentiation julia
Last synced: 11 Nov 2024
https://github.com/omaraflak/automatic-differentiation
Simple automatic differentiation tool.
autodiff automatic-differentiation dual-numbers
Last synced: 19 Dec 2024
https://github.com/jasmcaus/hazel
A Tensor Library written in C++.
artificial-intelligence autodiff autograd automatic-differentiation computing cpp cuda deep-learning differentiation gpu hazel-lang ml neural neural-network python pytorch scientific-computing tensor tensor-library
Last synced: 11 Nov 2024
https://github.com/ahmadyan/jet
Autodifferentiation engine forked from Ceres-Solver
autodiff autodifferentiation ceres-example ceres-solver deep-learning derivatives gradient-descent machine-learning optimization
Last synced: 30 Nov 2024
https://github.com/guocuimi/minitf
Simplified version of Tensorflow for learning purposes.
autodiff backpropagation deep-learning gradients neural-networks numpy python tensorflow
Last synced: 06 Dec 2024
https://github.com/fl03/rsdiff
rsdiff aims to be a complete auto differentiation system written in Rust.
autodiff procedural-macros rust-lang tensor
Last synced: 08 Dec 2024
https://github.com/fl03/acme
Acme aims to be a complete auto differentiation system written in Rust.
autodiff procedural-macros rust-lang tensor
Last synced: 28 Oct 2024
https://github.com/gmodena/scalagrad
A tiny reverse-mode autodiff and neural network library
Last synced: 13 Nov 2024
https://github.com/enzymead/enzyme-dev-docker
🚢 Portable development environment for Enzyme
autodiff autodifferentiation docker enzyme enzyme-ad llvm-enzyme vscode
Last synced: 09 Nov 2024
https://github.com/dmaivel/cugrad
An automatic differentiation library written in C++ and CUDA
autodiff autograd automatic-differentiation gradient gradients linear-algebra machine-learning neural-network tensor-algebra
Last synced: 11 Nov 2024
https://github.com/juliadiff/chainrulesdeclarationhelpers.jl
Helpers for declaring ChainRules
autodiff hacktoberfest metaprogramming
Last synced: 08 Nov 2024
https://github.com/jfriedlein/sacado_tensors_dealii
Testing capabilities of Trilinos-Sacado in combination with e. g. tensors
autodiff autodifferentiation continuum-mechanics dealii sacado tensors trilinos
Last synced: 12 Nov 2024
https://github.com/dirmeier/clad
Reverse-mode autodiff for Clojure
autodiff autograd reverse-mode-autodiff
Last synced: 16 Nov 2024
https://github.com/williamberman/svd-derivative
Documentation and implementations of the various forms of SVD's derivative in the context of AD
Last synced: 19 Nov 2024
https://github.com/junyixu/trixienzyme.jl
Autodiff via Enzyme.jl for Trixi.jl
autodiff cfd differentiable-programming enzyme hpc llvm pde scientific-computing
Last synced: 15 Oct 2024
https://github.com/zhuzilin/autodiff
pytorch like automatic differentiation library in numpy
Last synced: 19 Nov 2024
https://github.com/mariosasko/autograd
A reverse-mode automatic differentiation package
autodiff autograd automatic-differentiation
Last synced: 15 Dec 2024
https://github.com/fangzhou-xie/autodiffr
Automatic Differentiation in R Using "autodiff"
Last synced: 26 Nov 2024
https://github.com/spatialgraphics/tardis
Travel space and time by using autodiff and codegen
Last synced: 10 Dec 2024
https://github.com/yangfengzzz/tardis
Travel space and time by using autodiff and codegen
Last synced: 16 Dec 2024
https://github.com/stepanzh/anoteondualnumbersandautodiff
Короткая заметка о дуальных числах и автоматическом дифференцировании вперёд.
autodiff computational-mathematics education
Last synced: 05 Nov 2024
https://github.com/xnought/js-grad
Autodiff engine modeled after Andrej Karpathy's micrograd. But in javascript.
Last synced: 10 Nov 2024
https://github.com/tgymnich/enzymetestpackage
Example for using Enzyme within a Swift Package Manager package
autodiff automatic-differentiation enzyme llvm-enzyme swift
Last synced: 13 Dec 2024
https://github.com/mycielski/rnn_julia_mnist
RNN in Julia for MNIST digit recognition implemented with automatic differentiation. Over 96% accuracy.
autodiff computational-graphs julia mnist rnn
Last synced: 20 Nov 2024
https://github.com/cloudkj/lambda-autodiff
A library for automatic differentiation in Clojure
autodiff autograd clojure lisp machine-learning
Last synced: 18 Nov 2024
https://github.com/fangzhou-xie/fastadr
Automatic Differentiation in R Using "FastAD"
Last synced: 26 Nov 2024