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Search results for auto differentiation
auto-differentiation
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33 search results found
Minkowskiengine
⭐
2,312
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Dfdx
⭐
1,502
Deep learning in Rust, with shape checked tensors and neural networks
Autodiff
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1,454
automatic differentiation made easier for C++
Neuronika
⭐
791
Tensors and dynamic neural networks in pure Rust.
Uncertainties
⭐
509
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
Mushin
⭐
333
Computational graphs with reverse automatic differentation in the GPU
Xad
⭐
203
Comprehensive automatic differentiation in C++
Mygrad
⭐
166
Drop-in autodiff for NumPy.
Skscope
⭐
141
skscope: Sparse-Constrained OPtimization via itErative-solvers
Ilqr
⭐
116
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
Oxide Enzyme
⭐
101
Enzyme integration into Rust. Experimental, do not use.
Fastad
⭐
81
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
Essence
⭐
66
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
Arrhenius.jl
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39
Differentiable Reacting Flow Modeling Software
Pycallchainrules.jl
⭐
34
Differentiate python calls from Julia
Numpy Nn Model
⭐
32
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
Jitrench.jl
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32
[wip] Lightweight Automatic Differentiation & DeepLearning Framework implemented in pure Julia.
Fazang
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30
Fazang is a Fortran library for reverse-mode automatic differentiation, inspired by Stan/Math library.
Noviceml
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29
도서 머신러닝·딥러닝에 필요한 기초 수학 with 파이썬의 예제 코드와 그래프 그리는 코드 및 웹앱 저장소
Autodiff
⭐
28
200行写一个自动微分工具
Vqc
⭐
27
variational quantum circuit simulator in Julia, under GPLv3
Flint
⭐
24
A toy deep learning framework implemented in pure Numpy from scratch. Aka homemade PyTorch lol.
Yaae
⭐
17
Yaae: Yet another autodiff engine (written in Numpy).
Gp
⭐
14
Differentiable Gaussian Process implementation for PyTorch
Hyperjet
⭐
13
Algorithmic differentiation with hyper-dual numbers in C++ and Python
Dtrg
⭐
11
Fluxion
⭐
9
C++20 numerical and analytical derivative computations
Jutuldarcyrules.jl
⭐
8
JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy
Auto Diff
⭐
7
Fortran backward (reverse) mode automatic differentiation.
Dynagrad
⭐
7
Define-by-run arbitrary higher order autodiff for scalars in Rust. Deferred: tensor calculus implementation.
Scala Infer
⭐
7
Scala embedded universal probabilistic programming language
Limberjack.jl
⭐
5
Auto-differentiable methods for Cosmology
Autograd
⭐
5
Auto-differentiation library for C++
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1-33 of 33 search results
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