https://github.com/nvidia/minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

3d-convolutional-network 3d-vision 4d-convolutional-neural-network auto-differentiation computer-vision convolutional-neural-networks cuda deep-learning high-dimensional-data high-dimensional-inference minkowski-engine neural-network pytorch semantic-segmentation space-time sparse-convolution sparse-tensor-network sparse-tensors spatio-temporal-analysis trilateral-filter

Last synced: 14 May 2025

https://nvidia.github.io/MinkowskiEngine/

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

3d-convolutional-network 3d-vision 4d-convolutional-neural-network auto-differentiation computer-vision convolutional-neural-networks cuda deep-learning high-dimensional-data high-dimensional-inference minkowski-engine neural-network pytorch semantic-segmentation space-time sparse-convolution sparse-tensor-network sparse-tensors spatio-temporal-analysis trilateral-filter

Last synced: 08 May 2025

https://github.com/NVIDIA/MinkowskiEngine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

3d-convolutional-network 3d-vision 4d-convolutional-neural-network auto-differentiation computer-vision convolutional-neural-networks cuda deep-learning high-dimensional-data high-dimensional-inference minkowski-engine neural-network pytorch semantic-segmentation space-time sparse-convolution sparse-tensor-network sparse-tensors spatio-temporal-analysis trilateral-filter

Last synced: 20 Mar 2025

https://github.com/autodiff/autodiff

automatic differentiation made easier for C++

auto-differentiation autodiff autodifferentiation automatic-differentiation derivatives differentiation numerical-derivation

Last synced: 14 May 2025

https://github.com/c0dearm/mushin

Computational graphs with reverse automatic differentation in the GPU

auto-differentiation deep-learning machine-learning rust

Last synced: 27 Apr 2025

https://github.com/anassinator/ilqr

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

auto-differentiation cartpole control-systems ddp differential-dynamic-programming dynamics-models ilqg ilqr model-predictive-control model-predictive-controller mpc mpc-control non-linear-optimization optimal-control pendulum theano trajectory-optimization trajectory-tracking

Last synced: 20 Mar 2025

https://github.com/abess-team/skscope

skscope: Sparse-Constrained OPtimization via itErative-solvers

auto-differentiation jax non-convex-optimization nonlinear-optimization python scikit-learn sparsity-optimization

Last synced: 15 May 2025

https://github.com/jamesyang007/fastad

FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.

auto-differentiation autodiff autodifferentiation automatic-differentiation cpp17 derivatives differentiation linux macos math

Last synced: 13 Jul 2025

https://github.com/EnzymeAD/oxide-enzyme

Enzyme integration into Rust. Experimental, do not use.

ad auto-differentiation derivative enzyme gradient rust

Last synced: 16 May 2025

https://github.com/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.

auto-differentiation cartpole computational-graphs convolutional-networks convolutional-neural-networks deep-learning deep-q-network dropout lenet lstm lstm-model machine-learning mnist neural-turing-machines question-answering recurrent-neural-networks reinforcement-learning

Last synced: 29 Jul 2025

https://github.com/deng-mit/arrhenius.jl

Differentiable Reacting Flow Modeling Software

arrhenius auto-differentiation cantera cfd chemistry combustion cvode deeplearning energy flame julialang machine-learning neural-network neuralode reaction sciml sundials

Last synced: 20 Oct 2025

https://github.com/galacticdynamics/galax

Galactic and Gravitational Dynamics in Python (+ GPU and autodiff)

astrodynamics astronomy astrophysics auto-differentiation dynamical-systems dynamics galaxy gpu-acceleration jax

Last synced: 17 Jun 2025

https://github.com/GalacticDynamics/galax

Galactic and Gravitational Dynamics in Python (+ GPU and autodiff)

astrodynamics astronomy astrophysics auto-differentiation dynamical-systems dynamics galaxy gpu-acceleration jax

Last synced: 31 Mar 2025

https://github.com/tensorbfs/dtrg

auto-differentiation pytorch-implementation tensor-network

Last synced: 07 Oct 2025

https://github.com/TensorBFS/dTRG

auto-differentiation pytorch-implementation tensor-network

Last synced: 15 Jul 2025

https://github.com/GalacticDynamics/unxt

Unitful Quantities in JAX

array auto-differentiation jax quantities units

Last synced: 31 Mar 2025

https://github.com/galacticdynamics/unxt

Unitful Quantities in JAX

array auto-differentiation jax quantities units

Last synced: 02 Jan 2026

https://github.com/zoziha/auto-diff

Fortran backward (reverse) mode automatic differentiation.

auto-differentiation automatic-differentiation backward diff fpm modern-fortran sigmoid

Last synced: 20 Feb 2025

https://github.com/slimgroup/jutuldarcyrules.jl

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

auto-differentiation fluid-flow julia numerical-solver scalable two-phase-flow

Last synced: 24 Jul 2025

https://github.com/coderonion/ggml-zig

[ ggml: Tensor library for machine learning ] written in zig.

aigc auto-differentiation chatglm chatgpt deep-learning ggml gpt gpt4 large-language-models llama llm machine-learning tensor wizardcoder zig ziglang

Last synced: 15 Jun 2025

https://github.com/termoshtt/cagra

Tiny calculation graph library

auto-differentiation calculation-graph graph science

Last synced: 24 Apr 2025

https://github.com/jaimerzp/limberjack.jl

Auto-differentiable methods for Cosmology

auto-differentiation cosmology

Last synced: 06 Mar 2025

https://github.com/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.

auto-differentiation

Last synced: 15 Apr 2025

https://github.com/frasiyav/BQN-grad

Backpropagation in BQN.

auto-differentiation autograd bqn

Last synced: 07 May 2025

https://github.com/tsmith023/rusty-rootsearch

A WIP library for performing multi-root searching of one-dimensional transcendental equations using auto-differentiation in Rust

auto-differentiation newtons-method rust

Last synced: 01 Apr 2025

https://github.com/alexnask/cpp_ml

C++20 machine learning library with no external dependencies (nanorange used temporarily for C++20 ranges)

auto-differentiation cpp cpp20 machine-learning

Last synced: 27 Mar 2025

https://github.com/wa-lead/cmu-dlsys-needle

CMU 10-414/714 - A PyTorch-like Deep Learning framework built for learning in the CMU Deep Learning Systems course.

auto-differentiation cmu deep-learning machine-learning pytorch

Last synced: 07 Apr 2025

https://github.com/guoquan/dlexp2

A framework for more flexible structure of neural networks with auto-differentiation.

auto-differentiation deep-learning deep-neural-networks matlab

Last synced: 09 Aug 2025

https://github.com/anker661/autograd-playground

A simple Numpy & Python based auto differentiation system that supports visualization before and after back-propagation.

auto-differentiation autograd computaion-graph jupyter-notebook numpy python3

Last synced: 01 Aug 2025

https://github.com/weixuanchan/autod

autoD is a lightweight, flexible automatic differentiation for python3 based on numpy.

auto-differentiation

Last synced: 12 Apr 2025

https://github.com/sud295/autodiff

Calculates partial derivatives of an input function.

auto-differentiation derivatives python

Last synced: 24 Dec 2025