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machine-learning

Official repository of the Ruhr university Neural Network energy representation (RuNNer).

Finally a smart RSS reader which doesn't suck ass or your data.

CoinGecko for AI. Track 414+ models, 55 providers, 40 benchmarks, 3,941 MCP servers.

ESP32-S3 firmware platform: FreeRTOS multi-task architecture, BLE protocol, OTA recovery, tiered persistence, and on-device ML inference

Multi-source RAG pipeline with hybrid vector + keyword retrieval, LLM-powered concept knowledge graph, adaptive search weighting, and evaluation framework.

Deep learning system for seismic velocity inversion using a SincNet-GAT-UNet architecture, physics-informed temporal encoding, graph attention fusion, and FiLM-conditioned spatial prediction

Hệ thống phát hiện bất thường trên log HDFS bằng machine learning truyền thống, hỗ trợ tiền xử lý, benchmark, huấn luyện, đánh giá và dự đoán trên nhiều mô hình

Introduction to classification using machine learning and deep learning (PyTorch, TensorFlow, Keras)

CasperEngine - Sovereign AI inference engine with NIYAH kernel. ARM64 native C implementation with custom tokenizer, GGUF model support, and pure mathematical AI training pipeline.

RuNNerASE is a collection of packages for training, evaluating, and analyzing machine learning potentials with RuNNer, the Ruhr university Neural Network energy representation.

Ultralytics Python Project Template

This is an extension integrated machine learning to provide security from scam and other phishing links and domains.

This is a steganography detector build on top of python and machine learning logic. User can enter their own dataset and train their own model. Also a future rich ui experience.

A full-stack web application designed to bridge the gap between complex mathematical expressions and clean, compilable LaTeX code. This project leverages Machine Learning (Hugging Face models) to take raw text or messy equations and transform them into optimized, industry-standard LaTeX.

The system features a ReactJS frontend for real-time editing and a Python/Flask backend. To keep the deployment lightweight and free-tier friendly (Render/Railway), the project utilizes an External API Proxy Pattern for PDF generation, eliminating the need for a 2GB+ local TeX distribution.

Autonomous AI agents that secure, test, and deploy code through intelligent DevSecOps workflows. Built for GitLab Duo Agent Platform to automate PR review, risk detection, compliance checks, and deployment decisions.

A Python library for Secure and Explainable Machine Learning

Documentation available @ https://secml.gitlab.io

Follow us on Twitter @ https://twitter.com/secml_py

pt_kmeans is a high-performance, pure PyTorch K-Means implementation for CPU/GPU, featuring K-Means++ initialization, hierarchical clustering, and cluster splitting, optimized for large-scale datasets.

CorePlexML is a single platform that handles the entire machine learning lifecycle — from preparing your data to deploying predictive models in production and monitoring them in real time. It replaces the 6-7 separate open-source tools your team currently has to install, integrate, and maintain.

Data Science / Machine Learning Pipeline component for training and deploying ML models using CI