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16 search results found

🎯 A comprehensive gradient-free optimization framework written in Python

Differentiable Plasticity ⭐ 358

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

Learningx ⭐ 213

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Sgdlibrary ⭐ 181

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Mariana ⭐ 151

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Machine Learning Numpy ⭐ 84

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

Riemannian stochastic optimization algorithms: Version 1.0.3

Influence_boosting ⭐ 43

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

Simple Linear Regression Notebook ⭐ 35

Simple demo of linear regression built with numpy in a jupyter notebook.

Boostsrl ⭐ 31

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

Gdlibrary ⭐ 27

Matlab library for gradient descent algorithms: Version 1.0.1

Sparsegdlibrary ⭐ 21

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

Oxygenjs ⭐ 13

This a JavaScript Library for the Numerical Javascript and Machine Learning

A collection of algorithms done in JavaScript with visual demos

Machine_learning ⭐ 7

Machine Learning - Coursera.org

Online Learning ⭐ 6

Python implementations of Machine Learning Algorithms for the Online Setting

Ml_linear_regression_interactive ⭐ 6

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