automatic-differentiation

There are 29 repositories under automatic-differentiation topic.

ggml-org / ggml
Tensor library for machine learning
automatic-differentiation large-language-models machine-learning tensor-algebra
Language:C++ 13160
gorgonia
gorgonia / gorgonia
Gorgonia is a library that helps facilitate machine learning in Go.
machine-learning artificial-intelligence neural-network computation-graph differentiation golang go gradient-descent gorgonia deep-learning deeplearning deep-neural-networks automatic-differentiation symbolic-differentiation hacktoberfest graph-computation
Language:Go 5838
pennylane
PennyLaneAI / pennylane
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.
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 2811
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++ 2690
google / tangent
Source-to-Source Debuggable Derivatives in Pure Python
autodiff automatic-differentiation machine-learning deep-learning
Language:Python 2316
spago
nlpodyssey / spago
Self-contained Machine Learning and Natural Language Processing library in Go
deep-learning machine-learning natural-language-processing neural-network computation-graph automatic-differentiation artificial-intelligence deeplearning transformer-architecture recurrent-networks lstm language-model question-answering bert bert-as-service nlp automatic-translation bart named-entities-recognition
Language:Go 1823
autodiff / autodiff
automatic differentiation made easier for C++
auto-differentiation autodiff autodifferentiation automatic-differentiation derivatives differentiation numerical-derivation
Language:C++ 1753
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++ 1543
FluxML / Zygote.jl
21st century AD
julia julia-compiler control-flow gradient machine-learning automatic-differentiation
Language:Julia 1542
Enzyme
EnzymeAD / Enzyme
High-performance automatic differentiation of LLVM and MLIR.
enzyme llvm ad automatic-differentiation c cpp tensorflow pytorch machine-learning gradient derivative high-performance rust clang deep-learning scientific-computing simulation differentiable-programming compiler llvm-enzyme
Language:LLVM 1461
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
tensor nim multidimensional-arrays cuda deep-learning machine-learning cudnn high-performance-computing gpu-computing matrix-library neural-networks parallel-computing openmp linear-algebra ndarray opencl gpgpu iot automatic-differentiation autograd
Language:Nim 1378
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 1298
aesara
aesara-devs / aesara
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
symbolic-computation tensors theano automatic-differentiation transpiler aesara term-rewriting-system optimizing-compiler optimizing-compilers
Language:Python 1216
eduardoleao052 / js-pytorch
A JavaScript library like PyTorch, with GPU acceleration.
automatic-differentiation deep-learning javascript-library neural-networks pytorch
Language:JavaScript 1149
JuliaDiff / ForwardDiff.jl
Forward Mode Automatic Differentiation for Julia
automatic-differentiation calculus julia
Language:Julia 922
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++ 868
AeroSandbox
peterdsharpe / AeroSandbox
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.
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 835
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 799
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 782
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.
automatic-differentiation boost cpp eigen math stan stan-math-library sundials
Language:C++ 776
ThoughtWorksInc / DeepLearning.scala
A simple library for creating complex neural networks
automatic-differentiation deep-neural-networks deep-learning scala neural-network functional-programming symbolic-computation dsl domain-specific-language machine-learning
Language:Scala 772
ott
ott-jax / ott
Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
automatic-differentiation gromov-wasserstein jax optimal-transport sinkhorn
Language:Python 638
mcabbott / Tullio.jl
⅀
automatic-differentiation einsum julia notation tensor
Language:Julia 622
qml
PennyLaneAI / qml
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
quantum-machine-learning qml demo tutorials key-concepts quantum-computing automatic-differentiation pytorch tensorflow autograd neural-networks quantum-chemistry
Language:Python 622
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 615
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 539
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 computer-algebra differential-geometry linear-algebra topology quantum-computing computational-geometry algebra discrete-exterior-calculus simplicial-complexes manifolds geometry-processing
Language:Julia 492
raskr / rust-autograd
Tensors and differentiable operations (like TensorFlow) in Rust
rust tensor automatic-differentiation autograd neural-networks deep-learning machine-learning
Language:Rust 491
EnzymeAD / Enzyme.jl
Julia bindings for the Enzyme automatic differentiator
ad automatic-differentiation compiler differentiable-programming enzyme julia llvm machine-learning
Language:Julia 489
ThoughtWorksInc / DeepDarkFantasy
A Programming Language for Deep Learning
automatic-differentiation deep-learning dsl functional-programming
Language:Haskell 462
JAXFLUIDS
tumaer / JAXFLUIDS
Differentiable Fluid Dynamics Package
automatic-differentiation cfd compressible-flows fluid-dynamics gpu gpu-computing high-performance hpc jax machine-learning tpu turbulence jaxfluids deep-learning multi-phase-flows cuda computational-fluid-dynamics
Language:Python 456
JuliaDiff / ChainRules.jl
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
automatic-differentiation forward-mode hacktoberfest julia mixed-mode reverse-mode
Language:Julia 452
emmy
mentat-collective / emmy
The Emmy Computer Algebra System.
automatic-differentiation calculus clojure clojurescript computer-algebra differential-geometry explorable-explanations hamiltonian lagrangian-mechanics mathematics physics physics-simulation sussman symbolic-math
Language:Clojure 422
patr-schm / TinyAD
Automatic Differentiation in Geometry Processing Made Simple
automatic-differentiation geometry-processing optimization
Language:C++ 404
xad
auto-differentiation / xad
Powerful automatic differentiation in C++ and Python
automatic-differentiation risk-management derivatives biotechnology computer-graphics machine-learning meteorology numerical-analysis optimisation quant-finance robotics scientific-computing
Language:C++ 382
JuliaDiff / ReverseDiff.jl
Reverse Mode Automatic Differentiation for Julia
julia calculus automatic-differentiation
Language:Julia 370