M

machine learning

Graph-based Live Anomaly Detection on Semantic Streams

A landcover classification tool based for humans. Classifier does "traditional" supervised and unsupervised learning. Image segmentation and soon also object detection

Statistics for sci-kit learn.

Extract video representations (semantic, geometric, deep features) for the frames of any video.

Bahn-Vorhersage - The best Train Delay Prediction System.

Instance Hardness analysis in Machine Learning

Este es mi primer repositorio.

Sashimi - study the organisation and evolution of corpora

Trading Bot – Algorithmic Crypto Trading with AI Integration

This project is a powerful algorithmic trading bot for cryptocurrency markets. It combines traditional technical analysis with modern machine learning to generate accurate and intelligent trading decisions.

Key Features:

Candlestick Pattern Detection: Identifies classic reversal patterns such as Hammer, Doji, Engulfing, Shooting Star, and complex formations like triangle patterns.

Technical Indicators: Includes standard indicators (RSI, MACD, Moving Averages, Bollinger Bands) and advanced tools like Ichimoku Clouds, SuperTrend, Fibonacci Retracements, and more.

Machine Learning Integration: Uses LSTM-based models for time-series forecasting and momentum strategies, combined with indicator signals through weighted evaluation.

Dynamic Signal Weighting: Customizable signal weighting for patterns, indicators, and ML predictions with automatic adjustments to market volatility.

Trade Execution Engine: Supports long/short positions with stop-loss, take-profit, and trailing stop features. Automatically includes fees and tax deductions in profit calculations.

Backtesting & Debugging: Simulates strategies on historical data with detailed equity/value curve visualization and comprehensive debug logs.

Robust Error Handling: Detects and logs data inconsistencies, index errors, and processing issues to ensure stability.

Modular architecture with key components such as TraderBot, SignalHandler, PatternManager, IndicatorManager, MLModelHandler, SequenceManager, DataAPI, and CryptoCurrency. Additional support provided by PatternCalculator, IndicatorCalculator, and DataProcessing.

Version: V1.3.0.0 | GUI: V1.0.0 Author: Marian Seeger – info@seegersoftwaredevelopment.de

An extension to the agent-based electricity market model AMIRIS providing external electricity price forecasts

This package provides a modular framework for the semi-automated processing of entomological specimen labels. It uses artificial intelligence to perform label detection, classification, rotation correction, OCR, and clustering laying the groundwork for comprehensive information extraction. It is designed to work in conjunction with the python-mfnb package for downstream clustering tasks.

Automated pipeline for decensoring of doujinshis, using HentAI and DeepCreamPy. Supply an Imgur album link, nhentai link or nhentai id, wait 15-30 minutes, and download significantly decensored images.

A neural network-based differential equation and variational problem solver

https://elvet.gitlab.io/elvet/

Inkscape vector image editor https://th.wikipedia.org/wiki/%E0%B8%AB%E0%B8%99%E0%B9%89%E0%B8%B2%E0%B8%AB%E0%B8%A5%E0%B8%B1%E0%B8%81 https://p01-catalog1-html.jimdofree.com/%E0%B8%A3%E0%B8%B2%E0%B8%A2%E0%B8%8A-%E0%B8%AD-%E0%B8%9C%E0%B8%81%E0%B8%81-%E0%B9%81%E0%B8%95-%E0%B8%A5%E0%B8%B0-%E0%B8%AA%E0%B8%A0-138/

programas para medición de variables agro-hidrológicas. Datos obtenidos de esas mediciones y su correspondiente análisis.

Here’s the source code for my exploratory data analysis and model training for a movie recommendation system. The main model deployment code is in this repository.

Deployment Repo: (https://gitlab.com/aydie/ml-model-netflix-recommendation-system)

Website: aydie.in Contact: business@aydie.in