Multimodal Hybrid Deep Learning Framework for ASX Stock Prediction using FinBERT, LSTM-Transformer architectures, and production AI deployment.
-
Updated
May 22, 2026 - Jupyter Notebook
Multimodal Hybrid Deep Learning Framework for ASX Stock Prediction using FinBERT, LSTM-Transformer architectures, and production AI deployment.
Hybrid CNN–BiLSTM–Attention based early relay maloperation prediction system (ICCECE 2026 accepted)
AI-powered personal finance dashboard using machine learning for spending analysis, forecasting, anomaly detection, and interactive data visualization.
Comparison between Influx and Prometheus
This project predicts sunspot activity using an LSTM model for time series data. Built with TensorFlow and Keras, it uses Huber loss for outlier handling and MAE for performance evaluation. The dataset, sourced from Kaggle or SIDC, spans over 270 years of monthly sunspot data.
To associate your repository with the time-ser topic, visit your repo's landing page and select "manage topics."