Project Name	Stars	Repos Using This	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Functorch	1,369		12	a month ago	7	July 05, 2022	247	bsd-3-clause	Jupyter Notebook
functorch is JAX-like composable function transforms for PyTorch.
Finitediff.jl	221			3 months ago			17	other	Julia
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
Numdifftools	182	12	102	a year ago	25	November 10, 2022	10	bsd-3-clause	Python
Solve automatic numerical differentiation problems in one or more variables.
Path_explain	134			2 years ago	7	September 13, 2021	3	mit	Jupyter Notebook
A repository for explaining feature attributions and feature interactions in deep neural networks.
Psgd_torch	86			3 months ago					Python
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
Calculus	41		2	a year ago	11	March 09, 2023		gpl-3.0	R
High Dimensional Numerical and Symbolic Calculus in R
Psgd_tf	34			5 months ago					Python
Tensorflow implementation of preconditioned stochastic gradient descent
Optinpy	28			3 years ago				gpl-3.0	Python
Optimization in Python: Linear and non-linear optimization methods.
Nlsolvers.jl	26			3 months ago			19	mit	Julia
No bells and whistles foundation of Optim.jl
Acorns	21			3 years ago	7	January 18, 2021	1	mit	Python
https://arxiv.org/pdf/2007.05094.pdf An Easy-To-Use Code Generator for Gradients and Hessians

Alternatives To Stochqn

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Functorch ⭐ 1,369

functorch is JAX-like composable function transforms for PyTorch.

dependent packages 12total releases 7most recent commit a month ago

Finitediff.jl ⭐ 221

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

most recent commit 3 months ago

Numdifftools ⭐ 182

Solve automatic numerical differentiation problems in one or more variables.

dependent packages 102total releases 25most recent commit a year ago

Path_explain ⭐ 134

A repository for explaining feature attributions and feature interactions in deep neural networks.

total releases 7most recent commit 2 years ago

Psgd_torch ⭐ 86

Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)

most recent commit 3 months ago

Calculus ⭐ 41

High Dimensional Numerical and Symbolic Calculus in R

dependent packages 2total releases 11most recent commit a year ago

Psgd_tf ⭐ 34

Tensorflow implementation of preconditioned stochastic gradient descent

most recent commit 5 months ago

Optinpy ⭐ 28

Optimization in Python: Linear and non-linear optimization methods.

most recent commit 3 years ago

Nlsolvers.jl ⭐ 26

No bells and whistles foundation of Optim.jl

most recent commit 3 months ago

Acorns ⭐ 21

https://arxiv.org/pdf/2007.05094.pdf An Easy-To-Use Code Generator for Gradients and Hessians

total releases 7most recent commit 3 years ago

Suggest An Alternative To stochQN

Alternative Project Comparisons

Stochqn vs Functorch

Stochqn vs Finitediff.jl

Stochqn vs Numdifftools

Stochqn vs Path_explain

Stochqn vs Psgd_torch

Stochqn vs Calculus

Stochqn vs Psgd_tf

Stochqn vs Optinpy

Stochqn vs Nlsolvers.jl

Stochqn vs Acorns

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