Gradient Based Class Activation Maps for TensorFlow models.
Gradient Boosting powered by GPU(NVIDIA CUDA)
Reinforcement Learning model using Deep Deterministic Policy Gradients (DDPG)
Conjugate Gradient SENSE (CG-SENSE) MRI Reconstruction
Relational Functional Gradient Boosting in Python.
optimization of multivariate functions by gradient descent
An implementation of Mesh Adaptive Direct Search (MADS) for gradient-free optimization.
Create color gradients based on list-like input data
Generates various common web design elements. Borders, patterns, textures, gradients, etc.
Small library for computing gradients of functions that are commonly used in Machine Learning and Deep Learning.
Histogram of Gradients in Python from scratch
Supervised multi-class/single-label classification with gradients
A multi-node Python 3 gradient-free optimization library.
A fast gradient checkpointing strategy for training with memory-efficient attention (e.g., FlashAttention).
Adjoint Nonlinear Gradients
Conjugate-gradient optimizer subject to non-negativity constraints
Gradient Boosting Decision Trees for Random Utility Models
A fast and memory-saving implementation of competitive gradient descent in PyTorch
Row-wise gradient dHash (difference hash) algorithm implementation in python.
Meta-analytic gradient decoding
A Tensor library in Python, built in C++
BlooPy: Black-box optimization Python for bitstring, categorical, and numerical discrete problems with local, and population-based algorithms.
Easy to use optimizers with adaptive gradient clipping. Written in PyTorch.
Numerical differentiation in python.
Take it slow, compute gradients
A library to build Gradient boosted trees for ordinal labels
Optimizes user-specified objective functions of many variables using gradient-based optimization; relies on autodifferentiation for fast computation of gradients.
Python Implementation of Hierarchical Incremental Gradient Descent
deforce: Derivative-Free Algorithms for Optimizing Cascade Forward Neural Networks
Relative Luminance gradient and Dominant Color of Frames (RLGDCF) based Digital Video Fingerprinting.
A wrapper for conducting Nested Cross-Validation with Bayesian Hyper-Parameter Optimized Gradient Boosting
(Taken from NVIDIA) Replacement for Pytorch's Conv2D and Conv2DTranspose with support for higher-order gradients and disabling unnecessary gradient computations.
A set of scripts to deal with color conversions, color transformations, and generating color scales.
Accelerated Bregman proximal gradient (ABPG) methods
Pytorch implementation of the gradient-based initialization
Implementation of Gradient Origin Networks in PyTorch
Automated Machine Learning for production and analytics
Simple gradient computation library in Python
Tensorflow implimentation of the DDPG algorithm
Fastest gradient boosting library with higher accuracy
A python library to generate CSS gradient from an image
Heterogeneous Newton Boosting Machine
Verlauf - The Terminal Color Gradient Generator
Gradient based Receptive field estimation library for Tensorflow and Pytorch
This repo helps to track model Weights, Biases and Gradients during training with loss tracking and gives detailed insight for Classification-Model Evaluation
Implementation for Pytorch of the method described in our paper "Bolstering Stochastic Gradient Descent with Model Building", S. Ilker Birbil, Ozgur Martin, Gonenc Onay, Figen Oztoprak, 2021 (see https://arxiv.org/abs/2111.07058)
Bayesian Optimization + Gradient Boosted Trees
Implementation of Gradient Information Optimization for efficient and scalable training data selection
Compute surface gradient of overhead power lines / prediction of audible noise and electromagnetic field at ground