Gradient

Medical Deep Learning Framework

Smart gradient clippers

ADAO: A module for Data Assimilation and Optimization

Method PROTES (PRobabilistic Optimizer with TEnsor Sampling) for derivative-free optimization of the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format

A toolbox for using Constraint Guided Gradient Descent when training neural networks.

Official implementation of Conflict-free Inverse Gradients method

PyTorch optimizer based on nonlinear conjugate gradient method

Gradient Boosting powered by GPU(NVIDIA CUDA)

Polynomial approximations

just a simple gradient tool

Medical Deep Learning Framework.

Gradient boosting libraries integrated with pytorch

Automatic-Class-Balanced MSE Loss for PyTorch (ACB-MSE) to combat class imbalanced datasets and stabilise fluctuating loss gradients.

A python package for nice clean colors for your terminal tools!

feature and feature interaction analyzer for gradient boosting

Gradient Boosted Trees for RL

Create color gradients based on list-like input data

Gradient boosted decision tree palindrome predictor, used to locate regions for further investigation thru http://palindromes.ibp.cz/

Field and gradient calculations for magnetic coils

Gradient Boosting and Probabilistic Regression with categorical structure

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

A python package containing implementations of two widely used algorithms to minimise any function - Gradient Descent algorithm and the Normal Equation method.

A package compatible with scikit-learn.

A package for applying differential privacy to model training using gradient shuffling and membership inference attack detection.

Magnetic Field Coil Generator for Python.

A python package for the Cyclic Gradient Boosting Machine algorithm

Conjugate Gradient SENSE (CG-SENSE) MRI Reconstruction

Stochastic optimization routines for Theano

A fast GPU-accelerated Gradient Boosted Decision Tree library with PyTorch + CUDA

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

A unified framework for Gradient Boosting Models with SHAP analysis

Gradient Based Class Activation Maps for TensorFlow models.

Stochastic Gradient Monte Carlo in Jax

A python package for nice clean colors for your terminal tools!

Simple Gradient Noise Scale (GNS) calculation for PyTorch

HCP version of Gradient Unwarping Package for Python/Numpy

Fast (and cheeky) differentially private gradient-based optimisation in PyTorch

Optimizes user-specified objective functions of many variables using gradient-based optimization; relies on autodifferentiation for fast computation of gradients.

Supervised multi-class/single-label classification with gradients

Invariant Gradient Boosted Decision Tree Package - Era Splitting.

SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions

A library which Predicts the Y value(output) for given test data points using gradient descent algorithm.

A package for scattering covariance synthesis on datasets of Healpix maps, based on the HealpixML package.

Gradient Descent implementation by Vu Gia Tue

A module to genereate gradient text and rich panels.

SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions implemented in Keras

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

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

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