Gradient

pSeven Core is an integrated toolkit for design space exploration, optimization, and predictive modeling.

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

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

NFNets, PyTorch

Ordinal Gradient Boosting

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

llama-index llms gradient integration

Medical Deep Learning Framework

A unified framework for Gradient Boosting Models with SHAP analysis

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

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.

Create color gradients based on list-like input data

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

Magnetic Field Coil Generator for Python.

GradNorm - Pytorch

HCP version of Gradient Unwarping Package for Python/Numpy

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

ZenGrad: A gradient descent method focused on stability, smooth updates, and efficient, adaptive learning.

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

Python Sensitivity Analysis - Gradient DataFrames and Hex-Bin Plots

Medical Deep Learning Framework.

Invariant Gradient Boosted Decision Tree Package - Era Splitting.

Gradient Descent implementation by Vu Gia Tue

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

Una librería de gradientes para Python con impresión bonita en terminal.

A sequence to venaxyt's fade project, with more features.

Gradient Boosting powered by GPU(NVIDIA CUDA)

Unified interface for Gradient Boosted Decision Trees

Simple Gradient Noise Scale (GNS) calculation for PyTorch

Calculations

A package for computing SVD via gradient descent

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

PulPy: Pulses in Python. A package for MRI RF and gradient pulse design.

A package for multiple linear regression by gradient descent.

Machine Learning, Artificial Intelligence, Mathematics

Python package with various features!

A simple, colorful gradient banner/separator for your terminal

The package ntrees_tuning is an extension to sklearn. To Random Forests and Gradient Boosting it adds the ntrees parameter which gives control over how many trees are used for prediction. The main benefit is that it enables to tune the ntrees parameter w.r.t. the OOB-error without having to retrain a new model for each value of ntrees.

RotoGrad: Gradient Homogenization in Multitask Learning in Pytorch

Artificial Neural Network

Nano size theano lstm module

Hyperparameter optimization via gradient boosting regression

A library to build Gradient boosted trees for ordinal labels

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

KFAC-like Structured Inverse-Free Natural Gradient Descent

Light Propagation in Optical Fibers

UI interface for gradient flow visualization

X-ANFIS: An Extensible and Cross-Learning ANFIS Framework for Machine Learning Tasks

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

Adjoint Nonlinear Gradients