auto-differentiation
There are 53 repositories under auto-differentiation topic.
NVIDIA/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
autodiff/autodiff
automatic differentiation made easier for C++
anassinator/ilqr
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
c0dearm/mushin
Computational graphs with reverse automatic differentation in the GPU
abess-team/skscope
skscope: Sparse-Constrained OPtimization via itErative-solvers
JamesYang007/FastAD
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
EnzymeAD/oxide-enzyme
Enzyme integration into Rust. Experimental, do not use.
thtrieu/essence
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
AkiRusProd/numpy-nn-model
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
DENG-MIT/Arrhenius.jl
Differentiable Reacting Flow Modeling Software
metamath1/noviceml
도서 머신러닝·딥러닝에 필요한 기초 수학 with 파이썬의 예제 코드와 그래프 그리는 코드 및 웹앱 저장소
GalacticDynamics/galax
Galactic and Gravitational Dynamics in Python (+ GPU and autodiff)
GalacticDynamics/unxt
Unitful Quantities in JAX
supremacyfuture/VQC
variational quantum circuit simulator in Julia, under GPLv3
anassinator/gp
Differentiable Gaussian Process implementation for PyTorch
oberbichler/HyperJet
Algorithmic differentiation with hyper-dual numbers in C++ and Python
coderonion/ggml-zig
[ ggml: Tensor library for machine learning ] written in zig.
sharan-dce/autograd
Auto-differentiation library for C++
slimgroup/JutulDarcyRules.jl
JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy
zoziha/auto-diff
Fortran backward (reverse) mode automatic differentiation.
termoshtt/cagra
Tiny calculation graph library
JaimeRZP/LimberJack.jl
Auto-differentiable methods for Cosmology
exbibyte/dynagrad
Define-by-run arbitrary higher order autodiff for scalars in Rust. Deferred: tensor calculus implementation.
magic3007/AutoGrad
🎈 A C++ code generator for the automatic derivation of tensors with linear indexes. Implementation for the lesson Compiling Technology(2020 Spring, advised by Yun Liang) in Peking University.
frasiyav/BQN-grad
Backpropagation in BQN.
oberbichler/HyperGraph
Reversed mode second order automatic differentiation for python (WIP)
adamheins/lagrangian-mechanics-3-ways
Lagrangian mechanics implemented 3 ways: manually, with auto-diff, and symbolically.
PaytonWebber/zerograd
A small, educational library for neural networks, implemented from zero in pure Rust.
Btsan/myGradientLib
simple C++ auto-differentiation library
neluca/microtorch
A pytoch-like autograd engine.
RealBunbun/dTRG
Differentiable tensor renormalization group
yujizhu/MetaAutoDiff
MetaAutoDiff is a C++ template library for automatic differentiation in reverse mode.
JFagin/Quasar_ML
Code for "Joint Modeling of Quasar Variability and Accretion Disk Reprocessing using Latent Stochastic Differential Equation"
Johnnykoch02/MicrogradPlus
MicrogradPlus is an educational project aiming to provide a simple, yet extensible, NumPy-based automatic differentiation library.
rod-rom/autograd.cpp
A fast auto differentiation engine implemented in C++ 🔥