Topic: automatic-differentiation Goto Github

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aesara-devs / aesara
automatic-differentiation,Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
Organization: aesara-devs
Home Page: https://aesara.readthedocs.io
symbolic-computation tensors theano automatic-differentiation transpiler aesara term-rewriting-system optimizing-compiler optimizing-compilers

auto-differentiation / xad
automatic-differentiation,Comprehensive automatic differentiation in C++
Organization: auto-differentiation
Home Page: https://auto-differentiation.github.io
automatic-differentiation risk-management derivatives biotechnology computer-graphics machine-learning meteorology numerical-analysis optimisation quant-finance

autodiff / autodiff
automatic-differentiation,automatic differentiation made easier for C++
Organization: autodiff
Home Page: https://autodiff.github.io
automatic-differentiation auto-differentiation autodiff autodifferentiation differentiation derivatives numerical-derivation

breandan / kotlingrad
automatic-differentiation,🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
User: breandan
Home Page: https://breandan.net/public/masters_thesis.pdf#page=49
automatic-differentiation differentiable-programming computer-algebra kotlin types shape-safety multi-stage-programming symbolic-differentiation optimization gradient-descent

chakravala / grassmann.jl
automatic-differentiation,⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
User: chakravala
Home Page: https://grassmann.crucialflow.com
geometric-algebra clifford-algebras lie-groups tensor-algebra automatic-differentiation complex-numbers tensor quaternion math computer-algebra

eduardoleao052 / js-pytorch
automatic-differentiation,A JavaScript library like PyTorch, with GPU acceleration.
User: eduardoleao052
Home Page: https://eduardoleao052.github.io/js-pytorch/site/index.html
automatic-differentiation deep-learning javascript-library neural-networks pytorch

enzymead / enzyme
automatic-differentiation,High-performance automatic differentiation of LLVM and MLIR.
Organization: enzymead
Home Page: https://enzyme.mit.edu
enzyme llvm ad automatic-differentiation c cpp tensorflow pytorch machine-learning gradient

enzymead / enzyme.jl
automatic-differentiation,Julia bindings for the Enzyme automatic differentiator
Organization: enzymead
Home Page: https://enzyme.mit.edu
enzyme julia ad machine-learning llvm compiler automatic-differentiation differentiable-programming

ethz-adrl / control-toolbox
automatic-differentiation,The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
Organization: ethz-adrl
optimal-control model-predictive-control ilqr ilqg robotics trajectory-optimization lqr-controller control-systems cpp extended-kalman-filter

fluxml / zygote.jl
automatic-differentiation,21st century AD
Organization: fluxml
Home Page: https://fluxml.ai/Zygote.jl/
julia julia-compiler control-flow gradient machine-learning automatic-differentiation

ggerganov / ggml
automatic-differentiation,Tensor library for machine learning
User: ggerganov
automatic-differentiation large-language-models machine-learning tensor-algebra

google / tangent
automatic-differentiation,Source-to-Source Debuggable Derivatives in Pure Python
Organization: google
autodiff automatic-differentiation machine-learning deep-learning

gorgonia / gorgonia
automatic-differentiation,Gorgonia is a library that helps facilitate machine learning in Go.
Organization: gorgonia
Home Page: https://gorgonia.org/
machine-learning artificial-intelligence neural-network computation-graph differentiation golang go gradient-descent gorgonia deep-learning

jonathanraiman / theano_lstm
automatic-differentiation,:microscope: Nano size Theano LSTM module
User: jonathanraiman
machine-learning recurrent-networks theano python lstm gru adadelta dropout automatic-differentiation neural-network tutorial

juliadiff / chainrules.jl
automatic-differentiation,forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
Organization: juliadiff
julia automatic-differentiation forward-mode reverse-mode mixed-mode hacktoberfest

juliadiff / chainrulescore.jl
automatic-differentiation,AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
Organization: juliadiff
automatic-differentiation julia hacktoberfest

juliadiff / forwarddiff.jl
automatic-differentiation,Forward Mode Automatic Differentiation for Julia
Organization: juliadiff
julia calculus automatic-differentiation

juliadiff / reversediff.jl
automatic-differentiation,Reverse Mode Automatic Differentiation for Julia
Organization: juliadiff
julia calculus automatic-differentiation

juliadiff / taylorseries.jl
automatic-differentiation,Taylor polynomial expansions in one and several independent variables.
Organization: juliadiff
julia taylor-expansions automatic-differentiation polynomials

juliatopopt / topopt.jl
automatic-differentiation,A package for binary and continuous, single and multi-material, truss and continuum, 2D and 3D topology optimization on unstructured meshes using automatic differentiation in Julia.
Organization: juliatopopt
Home Page: https://juliatopopt.github.io/TopOpt.jl/
automatic-differentiation beso buckling civil-engineering continuum-mechanics engineering-design generative-design geometry-optimization mechanical-engineering multimaterial

kailaix / adcme.jl
automatic-differentiation,Automatic Differentiation Library for Computational and Mathematical Engineering
User: kailaix
Home Page: https://kailaix.github.io/ADCME.jl/latest/
automatic-differentiation machine-learning tensorflow scientific-computing optimization neural-networks numerical-pdes

kthohr / optim
automatic-differentiation,OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
User: kthohr
Home Page: https://optimlib.readthedocs.io/en/latest/
optim evolutionary-algorithms differential-evolution particle-swarm-optimization bfgs cpp cpp11 lbfgs optimization optimization-algorithms

leopard-ai / betty
automatic-differentiation,Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Organization: leopard-ai
Home Page: https://leopard-ai.github.io/betty/
autodiff automatic-differentiation bilevel-optimization meta-learning multilevel-optimization hyperparameter-optimization neural-architecture-search reinforcement-learning artificial-intelligence machine-learning

mcabbott / tullio.jl
automatic-differentiation,⅀
User: mcabbott
tensor notation julia einsum automatic-differentiation

mentat-collective / emmy
automatic-differentiation,The Emmy Computer Algebra System.
Organization: mentat-collective
Home Page: https://emmy.mentat.org
automatic-differentiation calculus clojure clojurescript computer-algebra differential-geometry hamiltonian lagrangian-mechanics physics physics-simulation

metaopt / torchopt
automatic-differentiation,TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Organization: metaopt
Home Page: https://torchopt.readthedocs.io
functional-programming optimizer pytorch meta-reinforcement-learning deep-learning meta-learning meta-rl bilevel-optimization differentiable-optimization implicit-differentiation

mitgcm / mitgcm
automatic-differentiation,M.I.T General Circulation Model master code and documentation repository
Organization: mitgcm
Home Page: http://mitgcm.org/
ocean-modelling mitgcm gfd automatic-differentiation data-assimilation exoplanets climate-science

mratsim / arraymancer
automatic-differentiation,A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
User: mratsim
Home Page: https://mratsim.github.io/Arraymancer/
tensor nim multidimensional-arrays cuda deep-learning machine-learning cudnn high-performance-computing gpu-computing matrix-library

mstksg / backprop
automatic-differentiation,Heterogeneous automatic differentiation ("backpropagation") in Haskell
User: mstksg
Home Page: https://backprop.jle.im
backprop graph backpropagation deep-learning neural-network gradient-descent automatic-differentiation

nlpodyssey / spago
automatic-differentiation,Self-contained Machine Learning and Natural Language Processing library in Go
Organization: nlpodyssey
deep-learning machine-learning natural-language-processing neural-network computation-graph automatic-differentiation artificial-intelligence deeplearning transformer-architecture recurrent-networks

oreilly-japan / deep-learning-from-scratch-3
automatic-differentiation,『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
Organization: oreilly-japan
deep-learning nueral-networks gpu autograd automatic-differentiation python

ott-jax / ott
automatic-differentiation,Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
Organization: ott-jax
Home Page: https://ott-jax.readthedocs.io
optimal-transport automatic-differentiation jax sinkhorn gromov-wasserstein

owlbarn / owl
automatic-differentiation,Owl - OCaml Scientific Computing @ https://ocaml.xyz
Organization: owlbarn
matrix linear-algebra ndarray statistical-functions topic-modeling regression maths gsl plotting sparse-linear-systems

patr-schm / tinyad
automatic-differentiation,Automatic Differentiation in Geometry Processing Made Simple
User: patr-schm
automatic-differentiation geometry-processing optimization

pennylaneai / pennylane
automatic-differentiation,PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Organization: pennylaneai
Home Page: https://pennylane.ai
autograd automatic-differentiation cirq deep-learning differentiable-computing hacktoberfest jax machine-learning neural-network optimization python pytorch qiskit qml quantum quantum-chemistry quantum-computing quantum-machine-learning strawberryfields tensorflow

pennylaneai / qml
automatic-differentiation,Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
Organization: pennylaneai
Home Page: https://pennylane.ai/qml
quantum-machine-learning qml demo tutorials key-concepts quantum-computing automatic-differentiation pytorch tensorflow autograd

peterdsharpe / aerosandbox
automatic-differentiation,Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
User: peterdsharpe
Home Page: https://peterdsharpe.github.io/AeroSandbox/
aerodynamics airplane cfd mdo aircraft-design aerospace optimization vlm aerodynamic-analysis xfoil

pranftw / neograd
automatic-differentiation,A deep learning framework created from scratch with Python and NumPy
User: pranftw
Home Page: https://neograd.readthedocs.io/
ai autograd automatic-differentiation deep-learning numpy python pytorch-api deep-learning-framework machine-learning neural-network

raskr / rust-autograd
automatic-differentiation,Tensors and differentiable operations (like TensorFlow) in Rust
User: raskr
rust tensor automatic-differentiation autograd neural-networks deep-learning machine-learning

sciml / integrals.jl
automatic-differentiation,A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
Organization: sciml
Home Page: https://docs.sciml.ai/Integrals/stable/
quadrature integration automatic-differentiation algorithmic-differentiation differentiable-programming sciml scientific-machine-learning julia julia-language julialang numerical-integration

sciml / neuraloperators.jl
automatic-differentiation,DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Organization: sciml
Home Page: https://docs.sciml.ai/NeuralOperators/stable/
julia fourier-transform gnn pde operator deep-learning partial-differential-equations automatic-differentiation deeponet differential-equations

sciml / optimization.jl
automatic-differentiation,Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
Organization: sciml
Home Page: https://docs.sciml.ai/Optimization/stable/
optimization local-optimization global-optimization automatic-differentiation algorithmic-differentiation sciml scientific-machine-learning hacktoberfest julia mixed-integer-programming

sciml / surrogates.jl
automatic-differentiation,Surrogate modeling and optimization for scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/Surrogates/stable/
surrogate-models surrogate-based-optimization surrogates surrogate sciml scientific-machine-learning high-performance-computing automatic-differentiation differential-equations julia

stack-of-tasks / pinocchio
automatic-differentiation,A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
Organization: stack-of-tasks
Home Page: http://stack-of-tasks.github.io/pinocchio/
robotics dynamics analytical-derivatives kinematics c-plus-plus rigid-body-dynamics code-generation python fcl motion-planning

stan-dev / math
automatic-differentiation,The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
Organization: stan-dev
Home Page: https://mc-stan.org
automatic-differentiation boost cpp eigen math stan stan-math-library sundials

tencent-quantum-lab / tensorcircuit
automatic-differentiation,Tensor network based quantum software framework for the NISQ era
Organization: tencent-quantum-lab
Home Page: https://tensorcircuit.readthedocs.io
machine-learning quantum quantum-algorithms quantum-circuit quantum-computing quantum-simulation automatic-differentiation tensor-network neural-network tensorflow

tensorlang / tensorlang
automatic-differentiation,Tensorlang, a differentiable programming language based on TensorFlow
Organization: tensorlang
tensorflow programming-language machine-learning deep-learning automatic-differentiation

thoughtworksinc / deepdarkfantasy
automatic-differentiation,A Programming Language for Deep Learning
Organization: thoughtworksinc
deep-learning dsl functional-programming automatic-differentiation

thoughtworksinc / deeplearning.scala
automatic-differentiation,A simple library for creating complex neural networks
Organization: thoughtworksinc
Home Page: http://deeplearning.thoughtworks.school/
automatic-differentiation deep-neural-networks deep-learning scala neural-network functional-programming symbolic-computation dsl domain-specific-language machine-learning

tumaer / jaxfluids
automatic-differentiation,Differentiable Fluid Dynamics Package
Organization: tumaer
automatic-differentiation cfd compressible-flows fluid-dynamics gpu gpu-computing high-performance hpc jax machine-learning