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.

Asynchronous Python client for AirGradient.

A gradient processing and optimization library in JAX.

SuperGradients

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

This is an SDK for performing Machine Learning with Gradient.

Unofficial Python client for Gradient Chat (supports gpt-oss-120b and qwen3-235b)

Gradient AI API

Collection of training and inference decision forest algorithms.

DataGradients

Python bindings for the Gradient Labs API

Gateway client for GradientOne

A Python toolbox for performing gradient-free optimization

Package for gradient accumulation in TensorFlow

A gradient generator for the Rich library.

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

Library for probabilistic predictions via gradient boosting.

Prints beautiful gradient figlets to the terminal

A library for visualizing neural network gradients

Gradient ML SDK

Gradientzoo python bindings

ML models + benchmark for tabular data classification and regression

Wrapper around the DogStatsd client

Bot Client for GradientChat

itk-higherorderaccurategradient provides higher order

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

Python package for wrapping gradient optimizers for models in Theano

Code for paper, Gradient Descent: The Ultimate Optimizer

Numerical differentiation in python.

gradient aware harmonisation of timeseries

Python SDK for OpenGradient decentralized model management & inference services

Gradient Checker for Custom built PyTorch Models

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.

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

Generate random but beautiful gradients in a super simple way.

Implement Gradient Centralization in TensorFlow

A Python implementation of Gradient-guided Swarm Optimization algorithm

Gradient Decode DICOM is a dicom image and tag reader op for TensorFlow

llama-index llms gradient integration

Gradient Equillibrum - Pytorch

Gradient Agreement Filtering (GAF) Package

gradient compression algorithms with PyTorch

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

A library to compute gradients for convex optimization problems

Gradient Ascent - Pytorch