A package compatible with scikit-learn.
Polynomial approximations
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
Official implementation of Conflict-free Inverse Gradients method
A wrapper of scipy minimize with automatic gradient and hessian computation.
Gradient Boosting and Probabilistic Regression with categorical structure
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
Automatic-Class-Balanced MSE Loss for PyTorch (ACB-MSE) to combat class imbalanced datasets and stabilise fluctuating loss gradients.
PyTorch optimizer based on nonlinear conjugate gradient method
A package for applying differential privacy to model training using gradient shuffling and membership inference attack detection.
Field and gradient calculations for magnetic coils
feature and feature interaction analyzer for gradient boosting
HCP version of Gradient Unwarping Package for Python/Numpy
A python package containing implementations of two widely used algorithms to minimise any function - Gradient Descent algorithm and the Normal Equation method.
Medical Deep Learning Framework.
Simple gradient-descent optimizer for PennyLane
Stochastic optimization routines for Theano
Gradient Boosted Trees for RL
X-ANFIS: An Extensible and Cross-Learning ANFIS Framework for Machine Learning Tasks
Python Sensitivity Analysis - Gradient DataFrames and Hex-Bin Plots
Magnetic Field Coil Generator for Python.
Streamlit component for color selection with support for solid colors and gradients
JAX implementation of Competitive Gradient Descent algorithms
Advanced color manipulation library for gradients and conversions
A toolbox for using Constraint Guided Gradient Descent when training neural networks.
Medical Deep Learning Framework
Deep Neural Network inspection: view weights, gradients and activations
Light Propagation in Optical Fibers
Artificial Neural Network
Conjugate Gradient SENSE (CG-SENSE) MRI Reconstruction
A fast GPU-accelerated Gradient Boosted Decision Tree library with PyTorch + CUDA
Fast (and cheeky) differentially private gradient-based optimisation in PyTorch
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.
GrafoRVFL: A Gradient-Free Optimization Framework for Boosting Random Vector Functional Link Network
MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models
Gradient Based Class Activation Maps for TensorFlow models.
Medical Deep Learning Framework
Generic conjugate gradient solver that works with your favorite backend
A library for Gradient-Adaptive Smoothing (GAS) trend analysis.
A python package for the Cyclic Gradient Boosting Machine algorithm
PulPy: Pulses in Python. A package for MRI RF and gradient pulse design.
A package for scattering covariance synthesis on datasets of Healpix maps, based on the HealpixML package.
Adaptive Momentum Gradient Descent for Regularized Poisson Regression
A Library of Linear and Logistic Regression with Genetic algorithm instead of Gradient Descent
A fast and memory-saving implementation of competitive gradient descent in PyTorch