Gradient

PyTorch optimizer based on nonlinear conjugate gradient method

HCP version of Gradient Unwarping Package for Python/Numpy

Unified interface for Gradient Boosted Decision Trees

A python machine learning library to use and visualize gradient descent for linear regression and logistic regression optimization.

Functions and classes for gradient-based robot motion planning, written in Ivy.

Deep Neural Network inspection: view weights, gradients and activations

Medical Deep Learning Framework.

Gradient Based Class Activation Maps for TensorFlow models.

A pytorch library that implements differentiable and learnable robot models, which allows users to learn parameters of analytical robot models, and/or propagate gradients through analytical robot computations such as forward kinematics.

Stochastic optimization routines for Theano

A package for gradient-based SVD

RotoGrad: Gradient Homogenization in Multitask Learning in Pytorch

Conjugate Gradient SENSE (CG-SENSE) MRI Reconstruction

Stochastic Gradient Monte Carlo in Jax

Gradient-based boundary (GBB) surface refinement

Gradient Boosting powered by GPU(NVIDIA CUDA)

FPBoost: a gradient boosting model for survival analysis that builds hazard functions as a combination of fully parametric hazards.

Artificial Neural Network

Nano size theano lstm module

Light Propagation in Optical Fibers

Tuning the model values and gradients using PyTorch

A module to genereate gradient text and rich panels.

Machine Learning, Artificial Intelligence, Mathematics

Decentralized stochastic gradient Langevin diffusion

Leap Frog Optimizer

Gradient Index (GRIN) Lens Calculations

Supervised multi-class/single-label classification with gradients

Adjoint Nonlinear Gradients

"Grams: Gradient Descent with Adaptive Momentum Scaling" implementation.

BlooPy: Black-box optimization Python for bitstring, categorical, and numerical discrete problems with local, and population-based algorithms.

Generates various common web design elements. Borders, patterns, textures, gradients, etc.

Invariant Gradient Boosted Decision Tree Package - Era Splitting.

Simplex noise (like Perlin) for CircuitPython

Relational Functional Gradient Boosting in Python.

A model agnostic and gradient-free optimization method for generating counterfactuals

Implementation of Cumulative Spectral Gradient (CSG), a measure to estimate the complexity of datasets. This works has been presented at CVPR 2019.

Sampling with gradient-based Markov Chain Monte Carlo approaches

Directed evolution of proteins with fast gradient-based discrete MCMC.

KFAC-like Structured Inverse-Free Natural Gradient Descent

A Library of Linear and Logistic Regression with Genetic algorithm instead of Gradient Descent

Enhanced Integrated Gradients - a method of attributing the prediction of a deep network to its input features

An implementation of Mesh Adaptive Direct Search (MADS) for gradient-free optimization.

Hyperparameter optimization via gradient boosting regression

Row-wise gradient dHash (difference hash) algorithm implementation in python.

Generic conjugate gradient solver that works with your favorite backend

An ensemble xgboost model made by bright-rookie.

A simple package to create Gradients

Easy to use optimizers with adaptive gradient clipping. Written in PyTorch.

Conjugate-gradient optimizer subject to non-negativity constraints

Reinforcement Learning model using Deep Deterministic Policy Gradients (DDPG)