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Projects in Awesome Lists tagged with automatic-differentiation
A curated list of projects in awesome lists tagged with automatic-differentiation .
https://github.com/ggerganov/ggml
Tensor library for machine learning
automatic-differentiation large-language-models machine-learning tensor-algebra
Last synced: 02 Oct 2024
https://github.com/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
Last synced: 30 Sep 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/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.
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
Last synced: 01 Oct 2024
https://github.com/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.
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
Last synced: 31 Jul 2024
https://github.com/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
Last synced: 30 Sep 2024
https://github.com/autodiff/autodiff
automatic differentiation made easier for C++
auto-differentiation autodiff autodifferentiation automatic-differentiation derivatives differentiation numerical-derivation
Last synced: 30 Sep 2024
https://github.com/stack-of-tasks/pinocchio
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
analytical-derivatives automatic-differentiation c-plus-plus casadi code-generation conda cppad dynamics fcl kinematics motion-planning pinocchio python rigid-body-dynamics robotics ros urdf
Last synced: 01 Oct 2024
https://github.com/fluxml/zygote.jl
21st century AD
automatic-differentiation control-flow gradient julia julia-compiler machine-learning
Last synced: 30 Sep 2024
https://github.com/FluxML/Zygote.jl
21st century AD
automatic-differentiation control-flow gradient julia julia-compiler machine-learning
Last synced: 31 Jul 2024
https://github.com/ethz-adrl/control-toolbox
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
automatic-differentiation control-systems cpp disturbance-observer extended-kalman-filter ilqg ilqr lqr-controller model-predictive-control multiple-shooting optimal-control riccati-solver rigid-body-dynamics robotics trajectory-optimization
Last synced: 30 Sep 2024
https://github.com/owlbarn/owl
Owl - OCaml Scientific Computing @ https://ocaml.xyz
algorithmic-differentation autograd automatic-differentiation gsl linear-algebra machine-learning maths matrix mcmc ndarray neural-network numerical-calculations optimization plotting regression scientific-computing sparse-linear-systems statistical-functions statistics topic-modeling
Last synced: 30 Sep 2024
https://mratsim.github.io/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
Last synced: 03 Aug 2024
https://github.com/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
Last synced: 28 Sep 2024
https://github.com/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
Last synced: 31 Jul 2024
https://github.com/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
Last synced: 28 Sep 2024
https://github.com/eduardoleao052/js-pytorch
A JavaScript library like PyTorch, with GPU acceleration.
automatic-differentiation deep-learning javascript-library neural-networks pytorch
Last synced: 01 Oct 2024
https://github.com/juliadiff/forwarddiff.jl
Forward Mode Automatic Differentiation for Julia
automatic-differentiation calculus julia
Last synced: 29 Sep 2024
https://github.com/JuliaDiff/ForwardDiff.jl
Forward Mode Automatic Differentiation for Julia
automatic-differentiation calculus julia
Last synced: 01 Aug 2024
https://github.com/kthohr/optim
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
armadillo automatic-differentiation bfgs cpp cpp11 differential-evolution eigen eigen3 evolutionary-algorithms gradient-descent lbfgs newton numerical-optimization-methods openmp openmp-parallelization optim optimization optimization-algorithms particle-swarm-optimization
Last synced: 28 Sep 2024
https://github.com/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
Last synced: 30 Sep 2024
https://github.com/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
Last synced: 31 Jul 2024
https://github.com/peterdsharpe/AeroSandbox
Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
3d-panel aerodynamic-analysis aerodynamics aerospace aerospace-engineering aircraft aircraft-design airplane analysis automatic-differentiation cfd mdao mdo optimization python simulation vlm xfoil
Last synced: 30 Jul 2024
https://github.com/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
Last synced: 01 Aug 2024
https://github.com/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.
algorithmic-differentiation automatic-differentiation convex-optimization derivative-free-optimization global-optimization hacktoberfest julia local-optimization mixed-integer-programming nonlinear-optimization optimization scientific-machine-learning sciml
Last synced: 29 Sep 2024
https://github.com/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.
algorithmic-differentiation automatic-differentiation convex-optimization derivative-free-optimization global-optimization hacktoberfest julia local-optimization mixed-integer-programming nonlinear-optimization optimization scientific-machine-learning sciml
Last synced: 02 Aug 2024
https://github.com/mcabbott/tullio.jl
⅀
automatic-differentiation einsum julia notation tensor
Last synced: 29 Sep 2024
https://github.com/mcabbott/Tullio.jl
⅀
automatic-differentiation einsum julia notation tensor
Last synced: 01 Aug 2024
https://github.com/breandan/kotlingrad
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
algebraic-data-types array-programming automatic-differentiation chinese computer-algebra differentiable-programming gradient-descent kotlin linear-algebra message-passing multi-stage-programming optimization shape-safety symbolic-differentiation types
Last synced: 01 Aug 2024
https://github.com/metaopt/torchopt
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
automatic-differentiation bilevel-optimization deep-learning differentiable-optimization differentiable-programming functional-programming implicit-differentiation meta-learning meta-reinforcement-learning meta-rl optimization optimizer pytorch
Last synced: 02 Aug 2024
https://github.com/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
Last synced: 01 Aug 2024
https://github.com/raskr/rust-autograd
Tensors and differentiable operations (like TensorFlow) in Rust
autograd automatic-differentiation deep-learning machine-learning neural-networks rust tensor
Last synced: 02 Aug 2024
https://github.com/ThoughtWorksInc/DeepDarkFantasy
A Programming Language for Deep Learning
automatic-differentiation deep-learning dsl functional-programming
Last synced: 01 Aug 2024
https://github.com/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
Last synced: 02 Aug 2024
https://github.com/chakravala/Grassmann.jl
⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
algebra automatic-differentiation clifford-algebras complex-numbers computational-geometry computer-algebra differential-geometry discrete-exterior-calculus geometric-algebra lie-groups linear-algebra manifolds math quantum-computing quaternion simplicial-complexes tensor tensor-algebra topology
Last synced: 03 Aug 2024
https://github.com/juliadiff/chainrules.jl
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
automatic-differentiation forward-mode hacktoberfest julia mixed-mode reverse-mode
Last synced: 29 Sep 2024
https://github.com/enzymead/enzyme.jl
Julia bindings for the Enzyme automatic differentiator
ad automatic-differentiation compiler differentiable-programming enzyme julia llvm machine-learning
Last synced: 30 Sep 2024
https://github.com/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
Last synced: 01 Aug 2024
https://github.com/juliadiff/taylorseries.jl
Taylor polynomial expansions in one and several independent variables.
automatic-differentiation julia polynomials taylor-expansions
Last synced: 02 Oct 2024
https://github.com/juliadiff/reversediff.jl
Reverse Mode Automatic Differentiation for Julia
automatic-differentiation calculus julia
Last synced: 02 Oct 2024
https://github.com/JuliaDiff/ReverseDiff.jl
Reverse Mode Automatic Differentiation for Julia
automatic-differentiation calculus julia
Last synced: 02 Aug 2024
https://github.com/JuliaDiff/TaylorSeries.jl
Taylor polynomial expansions in one and several independent variables.
automatic-differentiation julia polynomials taylor-expansions
Last synced: 31 Jul 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: 02 Aug 2024
https://github.com/MITgcm/MITgcm
M.I.T General Circulation Model master code and documentation repository
automatic-differentiation climate-science data-assimilation exoplanets gfd mitgcm ocean-modelling
Last synced: 08 Aug 2024
https://github.com/SciML/Surrogates.jl
Surrogate modeling and optimization for scientific machine learning (SciML)
automatic-differentiation differential-equations high-performance-computing julia optimization scientific-machine-learning sciml surrogate surrogate-based-optimization surrogate-models surrogates
Last synced: 02 Aug 2024
https://github.com/tensorlang/tensorlang
Tensorlang, a differentiable programming language based on TensorFlow
automatic-differentiation deep-learning machine-learning programming-language tensorflow
Last synced: 07 Aug 2024
https://github.com/kailaix/ADCME.jl
Automatic Differentiation Library for Computational and Mathematical Engineering
automatic-differentiation machine-learning neural-networks numerical-pdes optimization scientific-computing tensorflow
Last synced: 02 Aug 2024
https://github.com/JuliaDiff/ChainRulesCore.jl
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.
automatic-differentiation hacktoberfest julia
Last synced: 01 Aug 2024
https://github.com/tencent-quantum-lab/tensorcircuit
Tensor network based quantum software framework for the NISQ era
automatic-differentiation jax machine-learning matrix-product-states neural-network nisq open-quantum-systems pytorch quantum quantum-algorithms quantum-circuit quantum-computing quantum-dynamics quantum-error-mitigation quantum-machine-learning quantum-noise quantum-simulation tensor-network tensorflow variational-quantum-algorithms
Last synced: 03 Aug 2024
https://github.com/SciML/NeuralOperators.jl
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
automatic-differentiation deep-learning deeponet differential-equations fourier-neural-operator fourier-transform gnn julia operator partial-differential-equations pde scientific-machine-learning
Last synced: 02 Aug 2024
https://github.com/sciml/integrals.jl
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
algorithmic-differentiation automatic-differentiation differentiable-programming integration julia julia-language julialang numerical-integration quadrature scientific-machine-learning sciml
Last synced: 29 Sep 2024
https://github.com/SciML/Integrals.jl
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
algorithmic-differentiation automatic-differentiation differentiable-programming integration julia julia-language julialang numerical-integration quadrature scientific-machine-learning sciml
Last synced: 02 Aug 2024
https://github.com/roastduck/FreeTensor
A language and compiler for irregular tensor programs.
ast automatic-differentiation code-generation cuda gpu jit openmp tensor
Last synced: 01 Aug 2024
https://github.com/wangleiphy/tensorgrad
Differentiable Programming Tensor Networks
automatic-differentiation pytorch tensor-networks
Last synced: 05 Aug 2024
https://github.com/ami-iit/adam
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
adam-robotics automatic-differentiation casadi jax motion-planning numpy optimization python pytorch reinforcement-learning rigid-body-dynamics robotics urdf
Last synced: 01 Oct 2024
https://github.com/PerezHz/TaylorIntegration.jl
ODE integration using Taylor's method, and more, in Julia
automatic-differentiation high-accuracy jet-transport julia lyapunov-spectrum ode-solver taylor-series
Last synced: 02 Aug 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/JuliaNonconvex/Nonconvex.jl
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
augmented-lagrangian-method automatic-differentiation bayesian-optimization black-box-optimization derivative-free-optimization discrete-optimization evolutionary-algorithms global-optimization gradient-based-optimisation implicit-differentiation interior-point-optimizer metaheuristics method-of-moving-asymptotes mixed-integer-nonlinear-programming nonlinear-optimization nonlinear-programming optimization semidefinite-programming surrogate-assisted-optimization
Last synced: 02 Aug 2024
https://github.com/MasonProtter/Symbolics.jl
A symbolic math library written in Julia modelled off scmutils
automatic-differentiation computer-algebra-system julia physics symbolic-math
Last synced: 09 Aug 2024
https://github.com/SciML/PreallocationTools.jl
Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes
automatic-differentiation differentiable-programming garbage-collection high-performance-computing
Last synced: 01 Aug 2024
https://github.com/palle-k/DL4S
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
autograd automatic-differentiation convolutional-neural-networks deep-learning deep-neural-networks derivatives gradient-descent machine-learning neural-networks optimizers recurrent-networks recurrent-neural-networks swift swift-machine-learning tensor
Last synced: 17 Aug 2024
https://github.com/diffqc/dqc
Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)
automatic-differentiation computational-chemistry computational-physics density-functional-theory hartree-fock quantum-chemistry
Last synced: 04 Aug 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: 30 Sep 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: 31 Jul 2024
https://github.com/mitmath/juliacomputation
Repository for Common Ground C25
automatic-differentiation climate-science gpu-acceleration image-processing julia julia-language machine-learning optimization pluto-notebooks
Last synced: 29 Sep 2024
https://github.com/kailaix/AdFem.jl
Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling
adjoint-method automatic-differentiation deep-neural-networks finite-element-methods machine-learning numerical-pdes
Last synced: 02 Aug 2024
https://github.com/juliateachingctu/scientific-programming-in-julia
Repository for B0M36SPJ
automatic-differentiation differential-equations gpu-acceleration julia julia-language julialang meta-programming parallel-programming
Last synced: 29 Sep 2024
https://github.com/alonfnt/bayex
Minimal Implementation of Bayesian Optimization in JAX
automatic-differentiation bayesian-optimization gaussian-process-regression jax python
Last synced: 04 Aug 2024
https://github.com/jkoendev/optimal-control-literature-software
List of literature and software for optimal control and numerical optimization.
automatic-differentiation literature machine-learning model-predictive-control optimal-control software trajectory-optimization
Last synced: 02 Aug 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/grimme-lab/dxtb
Efficient And Fully Differentiable Extended Tight-Binding
automatic-differentiation computational-chemistry pytorch quantum-chemistry tight-binding
Last synced: 27 Sep 2024
https://github.com/elftausend/custos
A minimal OpenCL, CUDA, Vulkan and host CPU array manipulation engine / framework.
array-manipulations autograd automatic-differentiation cpu cuda cuda-support custos framework gpu lazy-evaluation no-std opencl rust vulkan wgsl
Last synced: 04 Aug 2024
https://github.com/gecrooks/quantumflow
QuantumFlow: A Quantum Algorithms Development Toolkit
automatic-differentiation quantum-algorithms quantum-computing quantum-machine-learning
Last synced: 02 Aug 2024
https://github.com/yhtang/funfact
Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.
automatic-differentiation factorization linear-algebra machine-learning numpy python scientific-computing tensor
Last synced: 01 Oct 2024
https://github.com/avigliotti/ad4sm.jl
Automatic Differentiation for Solid Mechanics
automatic-differentiation finite-element-methods julia-language solid-mechanics
Last synced: 30 Sep 2024
https://github.com/JuliaDiff/ChainRulesTestUtils.jl
Utilities for testing custom AD primitives.
autodiff automatic-differentiation hacktoberfest
Last synced: 31 Jul 2024
https://github.com/RobinKa/tfga
Python package for Geometric / Clifford Algebra with TensorFlow
automatic-differentiation bivector clifford-algebra deep-learning geometric-algebra gpu-acceleration keras mathematics multivector neural-networks paravector physics python quantum-electrodynamics real-dirac-theory tensorflow vector
Last synced: 03 Aug 2024
https://github.com/itt-ustutt/num-dual
Generalized (hyper-) dual numbers in rust
automatic-differentiation numerical-methods python rust
Last synced: 28 Sep 2024
https://github.com/fjosw/pyerrors
Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
autocorrelation autograd automatic-differentiation condensed-matter correlation data-analysis error-propagation lattice-field-theory lattice-qcd markov-chain monte-carlo particle-physics physics python qcd statistical-analysis statistical-mechanics
Last synced: 31 Jul 2024
https://github.com/frankwswang/quiqbox.jl
Exploring the computational power of fermionic quantum systems. Ab initio computation and basis set optimization for electronic structure problems.
automatic-differentiation basis-set computational-chemistry electronic-structure hartree-fock julia many-body-physics molecular-integrals molecule quantum quantum-chemistry
Last synced: 26 Sep 2024
https://github.com/kul-optec/abstractoperators.jl
Abstract operators for large scale optimization in Julia
automatic-differentiation back-propagation derivatives julia-language large-scale optimization
Last synced: 02 Oct 2024
https://github.com/kul-optec/AbstractOperators.jl
Abstract operators for large scale optimization in Julia
automatic-differentiation back-propagation derivatives julia-language large-scale optimization
Last synced: 02 Aug 2024
https://github.com/o1lo01ol1o/diffhask
DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp.
automatic-differentiation backpropagation deep-learning diffsharp haskell
Last synced: 01 Aug 2024
https://github.com/refraction-ray/admc
Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
automatic-differentiation monte-carlo statistical-mechanics tensorflow variational-monte-carlo
Last synced: 31 Jul 2024
https://github.com/sibaku/glsl-autodiff
Automatic differentiation for glsl
automatic-differentiation glsl math maths shaders
Last synced: 25 Sep 2024
https://github.com/simple-robotics/pycppad
Python bindings for CppAD and CppADCodeGen using Boost.Python
automatic-differentiation cppad eigen3 numpy
Last synced: 28 Sep 2024
https://github.com/harry7557558/spirulae
GPU-accelerated math function graphers in web browsers, both 3D and 2D.
automatic-differentiation denoising domain-coloring equation-parser function-graph graphing-calculator implicit-surfaces math-plot mesh-generation parametric-surface ray-tracing special-functions streamline-plots webgl2
Last synced: 20 Aug 2024
https://github.com/dmbates/nlreg.jl
Nonlinear regression in Julia
automatic-differentiation julia-language nonlinear-regression
Last synced: 30 Sep 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: 29 Sep 2024
https://github.com/tingelst/game
Geometric Algebra Multivector Estimation
automatic-differentiation geometric-algebra optimization
Last synced: 09 Aug 2024
https://github.com/dftd4/tad-dftd4
PyTorch Autodiff DFT-D4 Implementation.
automatic-differentiation dispersion-correction pytorch quantum-chemistry
Last synced: 29 Sep 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: 29 Sep 2024
https://github.com/tensorcircuit/tensorcircuit-ng
Tensor network based quantum software framework: next generation
automatic-differentiation jax machine-learning neural-network nisq open-quantum-systems pytorch quantum-algorithm quantum-circuit quantum-computing quantum-dynamics quantum-hardware quantum-machine-learning quantum-noise tensor-network tensorflow
Last synced: 26 Sep 2024
https://github.com/roflmaostc/radonka.jl
A simple yet sufficiently fast (attenuated) Radon and backproject implementation using KernelAbstractions.jl. Runs on CPU, CUDA, ...
automatic-differentiation computed-tomography ct cuda gpu julia julia-language optimization radon radon-transform tomography x-ray
Last synced: 29 Sep 2024
https://github.com/dftd3/tad-dftd3
PyTorch Autodiff DFT-D3 Implementation.
automatic-differentiation dispersion-correction pytorch quantum-chemistry
Last synced: 30 Sep 2024
https://github.com/auto-differentiation/xad-py
High-Performance Automatic Differentiation for Python
automatic-differentiation biotechnology computer-graphics derivatives machine-learning meteorology numerical-analysis optimisation quant-finance risk-management robotics scientific-computing
Last synced: 13 Aug 2024
https://github.com/chakravala/Grassmann.wl
⟨Leibniz-Grassmann-Clifford⟩ multilinear differential geometric algebra
algebra automatic-differentiation clifford-algebras complex-numbers computational-geometry computer-algebra differentiable-programming differential-geometry geometric-algebra lie-groups linear-algebra mathematica quantum-computing quaternion sparse tensor tensor-algebra topology wolfram wolfram-language
Last synced: 09 Aug 2024
https://github.com/rafaelarutjunjan/derivablefunctions.jl
Backend-agnostic differentiation with symbolic pass-through in Julia.
automatic-differentiation julia-language symbolic-differentiation
Last synced: 29 Sep 2024
https://github.com/zang-langyan/autolik
Provide the automatic differentiation for Likelihood maximization routine
automatic-differentiation distributions loglikelihood maximum-likelihood numpy python
Last synced: 01 Oct 2024
https://github.com/ameritusweb/parallelreverseautodiff
Parallel Reverse Mode Automatic Differentiation in C# for Custom Neural Network Development
automatic-differentiation custom-neural-network custom-neural-network-training deep-learning dot-net gnn gradient-descent lstm machine-learning neural-network reverse-mode-autodiff transformer vnn
Last synced: 28 Sep 2024
