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Top 76 automatic-differentiation open source projects

YaoBlocks.jl

Standard basic quantum circuit simulator building blocks. (archived, for it is moved to Yao.jl)

✭ 26

julia automatic-differentiation quantum-computing intermediate-representation

autodiffr

Automatic Differentiation for R

✭ 21

r julia automatic-differentiation

Tensorial.jl

Statically sized tensors and related operations for Julia

✭ 18

julia automatic-differentiation quaternion tensor symmetric-tensors continuum-mechanics einstein-summation

Scientific-Programming-in-Julia

Repository for B0M36SPJ

✭ 32

julia automatic-differentiation julia-language gpu-acceleration differential-equations meta-programming julialang parallel-programming

xcfun

XCFun: A library of exchange-correlation functionals with arbitrary-order derivatives

✭ 50

C++python CMake c fortran shell dft automatic-differentiation exchange-correlation-functionals

MissionImpossible

A concise C++17 implementation of automatic differentiation (operator overloading)

✭ 18

C++CMake Meson Dockerfile automatic-differentiation autodiff

Fortran-Tools

Fortran compilers, preprocessors, static analyzers, transpilers, IDEs, build systems, etc.

✭ 31

list tools command-line makefile static-analysis automatic-differentiation preprocessor text-editor build-tool build-system compilers static-analyzer command-line-parser fortran-compiler makefile-generation automatic-documentation transpilers

cgdms

Differentiable molecular simulation of proteins with a coarse-grained potential

✭ 44

python automatic-differentiation protein force-field potential coarse-grained

Tensors.jl

Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.

✭ 142

julia automatic-differentiation tensor finite-elements cfd symmetric-tensors

Causing

Causing: CAUsal INterpretation using Graphs

✭ 47

python Makefile graphs automatic-differentiation pytorch neural-networks graph-theory derivatives mediation-analysis dag causality-analysis latent-variables structural-equation-modeling structural-analysis effects-modeling causal-networks simultaneous-equation gnn do-calculus

MultiScaleArrays.jl

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

✭ 63

julia models automatic-differentiation ode dde differential-equations differentialequations sde dae multiscale neural-ode scientific-machine-learning neural-differential-equations scientific-ml scientific-ai hybrid-differential-equations sciml

ADAM

ADAM implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.

✭ 51

python reinforcement-learning robotics optimization numpy automatic-differentiation motion-planning pytorch urdf rigid-body-dynamics jax casadi

AdFem.jl

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

✭ 62

julia python machine-learning deep-neural-networks automatic-differentiation finite-element-methods adjoint-method numerical-pdes

omd

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

✭ 43

Jupyter Notebook python machine-learning reinforcement-learning deep-learning automatic-differentiation deep-reinforcement-learning dqn gym flax haiku sac model-based-rl jax model-based-reinforcement-learning soft-actor-critic dm-haiku

admc

Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution

✭ 17

tensorflow monte-carlo automatic-differentiation statistical-mechanics variational-monte-carlo

MASA

Method of Manufactured Solutions Repository

✭ 46

C++perl fortran M4 Makefile c automatic-differentiation partial-differential-equations analytical-solution manufactured-solutions

61-76 of 76 automatic-differentiation projects

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