v1.0.0 — ML Portfolio: 27 Production Modules

27 ML modules consolidated into one portfolio

Categories

• Reinforcement Learning (5 modules): DQN, PPO, Hierarchical RL, Curiosity Exploration, Meta-Learning
• Quantitative Trading (6 modules): Order Flow, Harmonic Patterns, Elliott Wave, Volatility, Fear/Greed, AutoML
• NLP & Sentiment (3 modules): Sentiment Engine, Social Analyzer, NLP Sentiment
• Core ML (8 modules): Anomaly Detection, GANs, GNNs, Attention, Bayesian, Continual Learning, XAI, Compression
• Infrastructure (4 modules): Gym Environments, Testing, Common Utils, XGBoost
• Forecasting (1 module): Prophet time series

Tech Stack

Python, PyTorch, NumPy, scikit-learn, XGBoost, Prophet