Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Minimal and clean examples of machine learning algorithms implementations
NVIDIA cuML: GPU-Accelerated Machine Learning
The machine learning toolkit for time series analysis in Python
An open-source Python framework for hybrid quantum-classical machine learning.
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Strongly typed configurable building blocks for A/B testing ML research.