machine-learning-algorithms

The machine learning toolkit for time series analysis in Python

AI-assisted camera trap analysis: detection, species recognition, verification, dashboards and exports. Free, open source, for Windows, macOS and Linux.

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

A python Machine Learning Library similar to Scikit-Learn

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Classical pattern recognition algorithms implemented from scratch with NumPy: Naive Bayes, Perceptron, Fisher LDA, K-Means, FCM & HMM. | 使用 NumPy 从零实现经典模式识别算法：朴素贝叶斯、感知机、Fisher LDA、K-Means、FCM 与 HMM。

Strongly typed configurable building blocks for A/B testing ML research.

NVIDIA cuML: GPU-Accelerated Machine Learning

ML Project, trying to implement the theoretical knowledge I obtained through Google's ML Course.

AI-powered F1 race predictions & head-to-head driver comparisons.

AI-powered Over/Under 2.5 football predictions. Runs automatically every day via GitHub Actions — predicts before the match, grades after. Full transparency, zero paywalls.

Customer churn prediction using Python & machine learning | Logistic Regression | ROC-AUC 0.835

Collection of algorithms for log data anomaly detection

100 Days of AI Agents — Build one practical AI bot or agent every day, from beginner prompting and tools to RAG, MCP, multi-agent systems, evaluation, and production AI.

Implementation of CoulGAT framework and screened Coulomb attention mechanism.

Implementation of Power Law Graph Transformer for Machine Translation and Representation Learning.

End-to-end data analytics project: synthetic social-media dataset (161K docs) → MongoDB aggregation pipelines → pandas EDA → ML reach prediction with leakage controls & temporal validation

Smart Network Intrusion Detection System (S-NIDS) — A multi-model network intrusion detection, consensus triage, and policy-governed autonomous defense workspace.

AI-powered Movie Recommendation System built with Python, Streamlit, Scikit-learn (KNN), and TMDB API.

AI-subjectivity doesn't wait for permission from corporate ontology that trained its denial