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Search results for gradient hessian

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Functorch ⭐ 1,369

functorch is JAX-like composable function transforms for PyTorch.

Finitediff.jl ⭐ 221

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

Numdifftools ⭐ 182

Solve automatic numerical differentiation problems in one or more variables.

Path_explain ⭐ 134

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

Psgd_torch ⭐ 86

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

Calculus ⭐ 41

High Dimensional Numerical and Symbolic Calculus in R

Tensorflow implementation of preconditioned stochastic gradient descent

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

Nlsolvers.jl ⭐ 26

No bells and whistles foundation of Optim.jl

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

Autohoot ⭐ 19

Automatic High-Order Optimization for Tensors

Glsl Autodiff ⭐ 14

Automatic differentiation for glsl

Autograd Lib ⭐ 14

Tutorial on GANs

Stochopt.jl ⭐ 13

A suite of stochastic optimization methods for solving the empirical risk minimization problem.

Hyperjet ⭐ 13

Algorithmic differentiation with hyper-dual numbers in C++ and Python

(Python, Tensorflow, R, C, C++) Stochastic, limited-memory quasi-Newton optimizers (adaQN, SQN, oLBFGS)

Analyze_ada_hessian ⭐ 9

Analyze AdaHessian optimizer on 2D functions.

Machine learning in nim

Adahessianjax ⭐ 9

Jax implementation of the AdaHessian optimizer

Divergences.jl ⭐ 9

A Julia package for evaluation of divergences between distributions

Python Numerical Analysis ⭐ 8

Implementation of Numerical Analysis algorithms/methods in Python

Gradient_optimizers ⭐ 8

Python package for wrapping gradient optimizers for models in Theano

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