#Hidden-markov-model
Showing 9 of 9 repositories tagged #hidden-markov-model, ranked by stars
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
Neural HMMs are all you need (for high-quality attention-free TTS)
Python tutorials as Jupyter Notebooks for NLP, ML, AI
CryptoMarket Regime Classifier is a machine learning framework that detects market regimes (Trend, Range, Squeeze, etc.) in crypto markets using multi-timeframe data and Hidden Markov Models. The project provides plug-and-play labeled datasets and trained models (HMM + LSTM) for downstream strategy development, position sizing, and risk management.
Unsupervised Learning to Market Behavior Forecasting Example
Better and faster Rust implementation of the FragGeneScan gene prediction model for short and error-prone reads.
Quantitative finance platform that uses Hidden Markov Models (HMM) to detect market regimes and deploy adaptive trading strategies. Features include automated strategy generation, realistic backtesting, topological data analysis (TDA), robust risk management, and walk-forward validation
Hybrid Wasserstein + HMM Market Regime Detection
Financial market regime detection using Hidden Markov Models for adaptive trading strategies