Gradient

Paperspace Python

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

Efficiently computes derivatives of NumPy code.

A gradient processing and optimization library in JAX.

SuperGradients

Gradient AI API

Gateway client for GradientOne

Python bindings for the Gradient Labs API

Python implementation for Gradient COBRA by S. Has (2023) with other aggregation and kernel methods.

A very simple tkinter prompt window with an animated gradient background, By: Fibo Metavinci

Collection of training and inference decision forest algorithms.

Medical Deep Learning Framework.

This is an SDK for performing Machine Learning with Gradient.

Package for gradient accumulation in TensorFlow

Prints beautiful gradient figlets to the terminal

gradient aware harmonisation of timeseries

DataGradients

Bot Client for GradientChat

A Python toolbox for performing gradient-free optimization

An integration package connecting Digitalocean and LangChain

YDF (short for Yggdrasil Decision Forests) is a library for training, serving, evaluating and analyzing decision forest models such as Random Forest and Gradient Boosted Trees.

Blackbox Gradient Sensing

Gradient ML SDK

Wrapper around the DogStatsd client

Asynchronous Python client for AirGradient.

Gradient Agreement Filtering (GAF) Package

itk-higherorderaccurategradient provides higher order

Code for paper, Gradient Descent: The Ultimate Optimizer

Gradientzoo python bindings

GradientDrift uses JAX to fit econometric models on datasets that do not fit in memory.

Library for probabilistic predictions via gradient boosting.

Gradient Equillibrum - Pytorch

The official Python library for GradientAI

A pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

Gradient Checker for Custom built PyTorch Models

Implement Gradient Centralization in TensorFlow

Approximate an image's gradient from a B-spline fit to its intensity.

A gradient generator for the Rich library.

Generate random but beautiful gradients in a super simple way.

This is a comprehensive package designed to demystify the concepts of gradients and their applications across various machine learning algorithms. With this release, developers and researchers gain access to a powerful toolkit that simplifies the understanding and implementation of gradient-based optimization techniques.

Gradient Ascent - Pytorch

Accelerated deep learning.

A Python implementation of Gradient-guided Swarm Optimization algorithm

A package for gradients

Python package for wrapping gradient optimizers for models in Theano

gradient compression algorithms with PyTorch

A Python package implementing various gradient descent optimization algorithms

A library for visualizing neural network gradients

ML models + benchmark for tabular data classification and regression