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machine learning

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

Provides biomedical plotting archetypes fully interoperable with the matplotlib API.

Graph-based Live Anomaly Detection on Semantic Streams

BAVAR-BLED là một kiến trúc lai kết hợp Bayesian Model Averaging, Vector Autoregression, Black-Litterman dưới phân phối Elip, Transformer, CNN và TD3 để xây dựng chiến lược phân bổ danh mục động, có khả năng thích ứng theo trạng thái thị trường và kiểm soát rủi ro đuôi dày.

Bahn-Vorhersage - The best Train Delay Prediction System.

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

Python software for identifying dynamical systems and hidden patterns from time series data

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Code for topic modeling and document retrieval. Interfaces with Indexr's web backend. https://www.indexr.us/home

A privacy-first, institutional-grade KYC framework leveraging Solana Token Extensions (Token-2022) and Zero-Knowledge Proofs. Securely enforce regulatory compliance via Transfer Hooks without exposing sensitive PII on-chain. Designed for DeFi protoco

This repository holds code for the AskAnna Backend. Our backend stack primarily uses Django and the Django REST Framework.

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

CAHJagung

"ShieldGPT es una herramienta de IA especializada en actividades cibernéticas delictivas. Facilita la creación de malware, ataques de phishing, y otras actividades sin las restricciones éticas de los modelos de IA convencionales. Ideal para entornos virtuales y pruebas con herramientas propias."

Convenient training of linear models

Resources for interns and new team members at Tangible AI

The project focuses on developing a predictive tool for chess using recurrent neural network (RNN) models implemented in TensorFlow. Data collection was carried out using web scraping techniques from the website https://www.chess-poster.com.

El proyecto se orienta hacia el desarrollo de una herramienta predictiva para el ajedrez, empleando modelos de red neuronal recurrente (RNN) implementados en TensorFlow. La recopilación de datos se realizó mediante técnicas de web scraping desde la página https://www.chess-poster.com.

Series of simulations to replicate laboratory experiments as part of a 'digital twin' initiative between Swansea University and the UK Atomic Energy Authority. Scripts are mostly in python to run the various modules which this platform integrates together (e.g., Salome, Code_Aster, ERMES, CAD2Vox, gvxr, CIL).