Machine Learning Algorithms
25 items across the graph — tagged with Machine Learning Algorithms.
From the graph · 25
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
The "Python Machine Learning (1st edition)" book code repository and info resource
Become a cracked AI/ML Research Engineer
NVIDIA cuML: GPU-Accelerated Machine Learning
cuML - RAPIDS Machine Learning Library
The machine learning toolkit for time series analysis in Python
This repository helps you learn Python and Machine Learning from scratch.
An open-source Python framework for hybrid quantum-classical machine learning.
Machine learning powered Karaoke app (with scores!)
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
A general classifier module to allow Bayesian and LSI classifications.
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, out…
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create…
A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks.
Library for automatic retraining and continual learning
A Python library for signal decomposition algorithms.
Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.
Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications
A machine learning project that compares five classification algorithms for predicting the presence of heart disease from clinical patient data.
A Static Analyzer for Java Powered by Machine Learning: Identifies Anti-Patterns Begging for Refactoring
AI-ML Companion: an interactive platform to learn AI & ML by watching it work - 22 tracks, 300+ modules, live visualizations - plus 10 end-to-end portfolio proj…
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
An open-source, machine learning-driven algorithmic trading framework engineered for high-frequency cryptocurrency markets and perpetual futures.
An open-source, machine learning-driven algorithmic trading framework engineered for high-frequency cryptocurrency markets and perpetual futures.