11 results found Sort:

NVIDIA
MinkowskiEngine NVIDIA
370
2.6k
other
46
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
cuda pytorch 3d-vision space-time deep-learning neural-network sparse-tensors computer-vision minkowski-engine trilateral-filter sparse-convolution auto-differentiation high-dimensional-data semantic-segmentation sparse-tensor-network 3d-convolutional-network spatio-temporal-analysis high-dimensional-inference convolutional-neural-networks 4d-convolutional-neural-network
Created 2019-04-04
531 commits to master branch, last one about a year ago
autodiff
autodiff autodiff
175
1.7k
mit
42
automatic differentiation made easier for C++
autodiff derivatives differentiation autodifferentiation auto-differentiation numerical-derivation automatic-differentiation
Created 2018-07-19
597 commits to main branch, last one 4 days ago
anassinator
ilqr anassinator
80
393
gpl-3.0
12
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
ddp mpc ilqg ilqr theano cartpole pendulum mpc-control control-systems dynamics-models optimal-control trajectory-tracking auto-differentiation non-linear-optimization trajectory-optimization model-predictive-control model-predictive-controller differential-dynamic-programming
Created 2017-11-17
40 commits to master branch, last one 5 years ago
c0dearm
mushin c0dearm
9
389
other
10
Computational graphs with reverse automatic differentation in the GPU
rust deep-learning machine-learning auto-differentiation
Created 2021-04-07
58 commits to main branch, last one 2 years ago
abess-team
skscope abess-team
14
323
mit
7
skscope: Sparse-Constrained OPtimization via itErative-solvers
jax python scikit-learn auto-differentiation sparsity-optimization nonlinear-optimization non-convex-optimization
Created 2022-12-07
529 commits to master branch, last one 3 months ago
JamesYang007
FastAD JamesYang007
3
106
mit
5
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
math cpp17 linux macos autodiff derivatives differentiation autodifferentiation auto-differentiation automatic-differentiation
Created 2019-04-17
375 commits to master branch, last one about a year ago
EnzymeAD
oxide-enzyme EnzymeAD
4
102
apache-2.0
10
Enzyme integration into Rust. Experimental, do not use.
ad rust enzyme gradient derivative auto-differentiation
This repository has been archived (exclude archived)
Created 2021-04-10
94 commits to main branch, last one about a year ago
AkiRusProd
numpy-nn-model AkiRusProd
4
67
unknown
1
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
gan vae mnist autodiff autograd auto-diff autoencoder numpy-model deep-learning neural-network machine-learning auto-differentiation numpy-neural-network variational-autoencoder automatic-differentiation convolutional-neural-network generative-adversarial-network
Created 2022-02-21
129 commits to master branch, last one 7 days ago
DENG-MIT
Arrhenius.jl DENG-MIT
20
59
mit
10
Differentiable Reacting Flow Modeling Software
cfd cvode flame sciml energy cantera reaction sundials arrhenius chemistry julialang neuralode combustion deeplearning neural-network machine-learning auto-differentiation
Created 2021-02-07
233 commits to main branch, last one 2 years ago
GalacticDynamics
galax GalacticDynamics
6
35
mit
2
Galactic and Gravitational Dynamics in Python (+ GPU and autodiff)
jax galaxy dynamics astronomy astrophysics astrodynamics gpu-acceleration dynamical-systems auto-differentiation
Created 2023-10-17
527 commits to main branch, last one 6 hours ago
GalacticDynamics
unxt GalacticDynamics
4
29
bsd-3-clause
1
Unitful Quantities in JAX
jax array units quantities auto-differentiation
Created 2023-12-22
325 commits to main branch, last one a day ago