XCSF learning classifier system: rule-based evolutionary machine learning
tensorflow/datasets is a library of datasets ready to use with TensorFlow.
A tool for creating and backtesting financial algorithms
Automatic differentiation for high-energy physics correction factor calculations.
A package for performing stochastic gradient descent (arXiv:1710.04626) to layout graphs
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.
A Python 3 gradient-free optimization library.
Sampling with gradient-based Markov Chain Monte Carlo approaches
Modern template for Django admin interface
Keract - Tensorflow Keras Activations and Gradients
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Gradient Health training tools
ITK filters to split a multi-component pixel image into component-wise scalar images
Probabilistic Gradient Boosting Machines
Python package with various features!
Batch Integrated Gradients is a simple method for explaining temporal data predictions.
Gradient accumulation for Keras
Easily create gradients under the form of a list with given-input colors
Print colors and gradients in your terminal. Official github: https://github.com/ddjerqq/rgbprint
ASDL: Automatic Second-order Differentiation (for Fisher, Gradient covariance, Hessian, Jacobian, and Kernel) Library
A package for performing stochastic gradient descent (arXiv:1710.04626) to layout graphs
Influence Estimation for Gradient-Boosted Decision Trees
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
llama-index llms gradient integration
An accelerated gradient descent optimizer for Pyxu
Python package + CLI to generate stylistic wordclouds, including gradients and icon shapes!
BIRT is an implementation of Beta3-irt using gradient descent.
Proximal Gradient Methods for Pytorch
Calculations
A package compatible with scikit-learn.
A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label classification rules
Neural Network Gradient Metrics with PyTorch
A package for evaluating dimensionality reduction algorithms
Makes learning gradient descent easy
This package will generate a color gradient. The colors, the number of colors generated, the color format, the hexadecimal prefix are configurable.
Implementation of the gradient-based t-SNE sttribution method described in our GLBIO oral presentation: 'Towards Computing Attributions for Dimensionality Reduction Techniques'
Tools for generating color gradient palettes and sha
Python Image Displacement Identification.
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Automated machine learning for production and analytics
LC gradient optimization and evaluation
High throughput asynchronous reinforcement learning framework
Math parser and evaluator capable of computing gradients and Hessians.
Cortical gradients and beyond
azureml contrit gradient boosted decision tree
Polynomial approximations
KFAC-like Structured Inverse-Free Natural Gradient Descent
A neural network architecture for building fully explainable neural network for arithmetic and gradient logic expression approximation.