Neural forecasting models implemented using ruv-FANN for time series forecasting
Time series analysis components for ToRSh - powered by SciRS2
Time series analysis module for SciRS2 (scirs2-series)
Machine learning integration for RUV Swarm
Neural network integration for Neural Trader - LSTM, transformers, and deep learning models with Candle
High-performance neural forecasting library providing 100% compatibility with NeuralForecast Python API, built on ruv-FANN foundation
Model factory and registry system for dynamic neural network model creation and management