automatic-differentiation

There are 26 repositories under automatic-differentiation topic.

ggerganov / ggml
Tensor library for machine learning
automatic-differentiation large-language-models machine-learning tensor-algebra
Language:C++ 10262
gorgonia
gorgonia / gorgonia
Gorgonia is a library that helps facilitate machine learning in Go.
artificial-intelligence automatic-differentiation computation-graph deep-learning deep-neural-networks deeplearning differentiation go golang gorgonia gradient-descent graph-computation hacktoberfest machine-learning neural-network symbolic-differentiation
Language:Go 5408
google / tangent
Source-to-Source Debuggable Derivatives in Pure Python
autodiff automatic-differentiation deep-learning machine-learning
Language:Python 2308
pennylane
PennyLaneAI / pennylane
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.
quantum machine-learning deep-learning neural-network optimization quantum-computing quantum-machine-learning automatic-differentiation tensorflow pytorch autograd qiskit cirq strawberryfields differentiable-computing quantum-chemistry qml jax python hacktoberfest
Language:Python 2174
spago
nlpodyssey / spago
Self-contained Machine Learning and Natural Language Processing library in Go
artificial-intelligence automatic-differentiation automatic-translation bart bert bert-as-service computation-graph deep-learning deeplearning language-model lstm machine-learning named-entities-recognition natural-language-processing neural-network nlp question-answering recurrent-networks transformer-architecture
Language:Go 1725
stack-of-tasks / pinocchio
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
robotics dynamics analytical-derivatives kinematics c-plus-plus rigid-body-dynamics code-generation python fcl motion-planning automatic-differentiation urdf ros casadi cppad conda pinocchio
Language:C++ 1647
autodiff / autodiff
automatic differentiation made easier for C++
auto-differentiation autodiff autodifferentiation automatic-differentiation derivatives differentiation numerical-derivation
Language:C++ 1562
FluxML / Zygote.jl
21st century AD
automatic-differentiation control-flow gradient julia julia-compiler machine-learning
Language:Julia 1461
control-toolbox
ethz-adrl / control-toolbox
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
optimal-control model-predictive-control ilqr ilqg robotics trajectory-optimization lqr-controller control-systems cpp extended-kalman-filter riccati-solver multiple-shooting disturbance-observer automatic-differentiation rigid-body-dynamics
Language:C++ 1398
mratsim / Arraymancer
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
autograd automatic-differentiation cuda cudnn deep-learning gpgpu gpu-computing high-performance-computing iot linear-algebra machine-learning matrix-library multidimensional-arrays ndarray neural-networks nim opencl openmp parallel-computing tensor
Language:Nim 1324
Enzyme
EnzymeAD / Enzyme
High-performance automatic differentiation of LLVM and MLIR.
ad automatic-differentiation c clang compiler cpp deep-learning derivative differentiable-programming enzyme gradient high-performance llvm llvm-enzyme machine-learning pytorch rust scientific-computing simulation tensorflow
Language:LLVM 1197
owlbarn / owl
Owl - OCaml Scientific Computing @ https://ocaml.xyz
matrix linear-algebra ndarray statistical-functions topic-modeling regression maths gsl plotting sparse-linear-systems scientific-computing numerical-calculations statistics mcmc optimization autograd algorithmic-differentation automatic-differentiation machine-learning neural-network
Language:OCaml 1194
aesara
aesara-devs / aesara
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
aesara automatic-differentiation optimizing-compiler optimizing-compilers symbolic-computation tensors term-rewriting-system theano transpiler
Language:Python 1166
eduardoleao052 / js-pytorch
A JavaScript library like PyTorch, built from scratch.
automatic-differentiation deep-learning javascript-library neural-networks pytorch
Language:TypeScript 904
JuliaDiff / ForwardDiff.jl
Forward Mode Automatic Differentiation for Julia
julia calculus automatic-differentiation
Language:Julia 872
kthohr / optim
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
optim evolutionary-algorithms differential-evolution particle-swarm-optimization bfgs cpp cpp11 lbfgs optimization optimization-algorithms openmp openmp-parallelization armadillo numerical-optimization-methods gradient-descent newton eigen automatic-differentiation eigen3
Language:C++ 790
ThoughtWorksInc / DeepLearning.scala
A simple library for creating complex neural networks
automatic-differentiation deep-learning deep-neural-networks domain-specific-language dsl functional-programming machine-learning neural-network scala symbolic-computation
Language:Scala 766
stan-dev / math
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.
stan stan-math-library math automatic-differentiation sundials eigen boost cpp
Language:C++ 723
oreilly-japan / deep-learning-from-scratch-3
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
autograd automatic-differentiation deep-learning gpu nueral-networks python
Language:Python 701
SciML / Optimization.jl
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.
optimization local-optimization global-optimization automatic-differentiation algorithmic-differentiation sciml scientific-machine-learning hacktoberfest julia mixed-integer-programming nonlinear-optimization convex-optimization derivative-free-optimization
Language:Julia 687
AeroSandbox
peterdsharpe / AeroSandbox
Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
aerodynamics airplane cfd mdo aircraft-design aerospace optimization vlm aerodynamic-analysis xfoil analysis 3d-panel python aircraft automatic-differentiation mdao aerospace-engineering simulation
Language:Jupyter Notebook 684
mcabbott / Tullio.jl
⅀
automatic-differentiation einsum julia notation tensor
Language:Julia 595
kotlingrad
breandan / kotlingrad
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
automatic-differentiation differentiable-programming computer-algebra kotlin types shape-safety multi-stage-programming symbolic-differentiation optimization gradient-descent algebraic-data-types array-programming message-passing linear-algebra chinese
Language:Kotlin 515
qml
PennyLaneAI / qml
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
autograd automatic-differentiation demo key-concepts neural-networks pytorch qml quantum-chemistry quantum-computing quantum-machine-learning tensorflow tutorials
Language:Python 511
torchopt
metaopt / torchopt
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
functional-programming optimizer pytorch meta-reinforcement-learning deep-learning meta-learning meta-rl bilevel-optimization differentiable-optimization implicit-differentiation optimization differentiable-programming automatic-differentiation
Language:Python 507
raskr / rust-autograd
Tensors and differentiable operations (like TensorFlow) in Rust
autograd automatic-differentiation deep-learning machine-learning neural-networks rust tensor
Language:Rust 484
ott
ott-jax / ott
Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
automatic-differentiation gromov-wasserstein jax optimal-transport sinkhorn
Language:Python 474
ThoughtWorksInc / DeepDarkFantasy
A Programming Language for Deep Learning
automatic-differentiation deep-learning dsl functional-programming
Language:Haskell 462
Grassmann.jl
chakravala / Grassmann.jl
⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
geometric-algebra clifford-algebras lie-groups tensor-algebra automatic-differentiation complex-numbers tensor quaternion math computer-algebra differential-geometry linear-algebra topology quantum-computing computational-geometry algebra discrete-exterior-calculus simplicial-complexes manifolds
Language:Julia 456
JuliaDiff / ChainRules.jl
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
julia automatic-differentiation forward-mode reverse-mode mixed-mode hacktoberfest
Language:Julia 424
EnzymeAD / Enzyme.jl
Julia bindings for the Enzyme automatic differentiator
ad automatic-differentiation compiler differentiable-programming enzyme julia llvm machine-learning
Language:Julia 422
emmy
mentat-collective / emmy
The Emmy Computer Algebra System.
automatic-differentiation calculus clojure clojurescript computer-algebra differential-geometry hamiltonian lagrangian-mechanics physics physics-simulation sussman symbolic-math explorable-explanations mathematics
Language:Clojure 364
patr-schm / TinyAD
Automatic Differentiation in Geometry Processing Made Simple
automatic-differentiation geometry-processing optimization
Language:C++ 356
JuliaDiff / ReverseDiff.jl
Reverse Mode Automatic Differentiation for Julia
automatic-differentiation calculus julia
Language:Julia 343
JuliaDiff / TaylorSeries.jl
Taylor polynomial expansions in one and several independent variables.
automatic-differentiation julia polynomials taylor-expansions
Language:Julia 331
betty
leopard-ai / betty
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
autodiff automatic-differentiation bilevel-optimization meta-learning multilevel-optimization hyperparameter-optimization neural-architecture-search reinforcement-learning artificial-intelligence machine-learning deep-learning implicit-differentiation pytorch
Language:Python 327