SomeB1oody/RustyML
A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks.
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A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks.
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
NVIDIA cuML: GPU-Accelerated Machine Learning
Machine learning powered Karaoke app (with scores!)
EasyTPP: Towards Open Benchmarking Temporal Point Processes
Minimal and clean examples of machine learning algorithms implementations
A high performance implementation of HDBSCAN clustering.
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. Additionally, it provides betting agents based on Deep Reinforcement Learning (DRL), which can learn optimal betting strategies.
The machine learning toolkit for time series analysis in Python
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
oneAPI Data Analytics Library (oneDAL)
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
An open-source Python framework for hybrid quantum-classical machine learning.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
That's all 14 repositories in this period.