Gradient

Topo calculations like gradient and sky view

An accelerated gradient descent optimizer for Pyxu

A CLI for maxludden/maxgradient

A package for calculating shifted gradients

growingnn is a cutting-edge Python package that introduces a dynamic neural network architecture learning algorithm. This innovative approach allows the neural network to adapt its structure during training, optimizing both weights and architecture. Leveraging a Stochastic Gradient Descent-based optimizer and guided Monte Carlo tree search, the package provides a powerful tool for enhancing model performance ICCS 2025 update.

Gradient Boosted Trees for RL

Easily create gradients under the form of a list with given-input colors

Fully automated LC gradient optimization of optimal compound separation in nontargeted metabolomics

Gradient Reversal Layer implemented with torch.library

A jax wrapper for autograd-differentiable functions.

Monotonic composite quantile gradient boost regressor

GradNorm - Pytorch

Automated machine learning for production and analytics

Gradient accumulation for Keras

Adaptive Momentum Gradient Descent for Regularized Poisson Regression

ADAO: A module for Data Assimilation and Optimization

A package for performing stochastic gradient descent (arXiv:1710.04626) to layout graphs

Ingradient - A labeling and dataset management tool

Batch Integrated Gradients is a simple method for explaining temporal data predictions.

Easily create beautiful gradient and rainbow text in Python

Math parser and evaluator capable of computing gradients and Hessians.

Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees

llama-index llms gradient integration

Sionna - A hardware-accelerated differentiable open-source library for research on communication systems

RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.

CEEMDAN-LSTM-GradientBoosting model for state-of-the-art time series forecasting

A wrapper of scipy minimize with automatic gradient and hessian computation.

Influence Estimation for Gradient-Boosted Decision Trees

just a simple gradient tool

feature and feature interaction analyzer for gradient boosting

Print colors and gradients in your terminal. Official github: https://github.com/ddjerqq/rgbprint

Where you find all the state-of-the-art cooking utensils (salt, pepper, gradient descent... the usual).

API of gradient descent.

Neural Network Gradient Metrics with PyTorch

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

Makes learning gradient descent easy

A JAX-based L-BFGS optimizer

A Python package for gradient colors

GPU memory-efficient training with gradient compression for PyTorch

Gradient descent implementation for ML

A flet component for gradient borders

Python package for AdaS: Adaptive Scheduling of Stochastic Gradients

Tools for generating color gradient palettes and sha

A neural network architecture for building fully explainable neural network for arithmetic and gradient logic expression approximation.

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

Calculations

A package compatible with scikit-learn.

A Python library for creating and applying full-color, linear, and circular gradients to text with easy color management.

Stochastic optimization routines for Theano