Time Series Forecasting

AutoGluonPython

An automated machine learning library that trains and deploys high-accuracy models for tabular, text, image, and time series data with minimal code.

Stock-Prediction-ModelsJupyter Notebook

A comprehensive collection of machine learning and deep learning models, trading agents, and simulations for stock market forecasting.

stockpredictionaiJavaScript

A complete AI-driven process using GANs with LSTM and CNN to predict stock price movements, incorporating diverse data sources and hyperparameter optimization.

neuralforecastPython

A Python library offering scalable and user-friendly implementations of state-of-the-art neural forecasting models.

Auto-PyTorchPython

Automatic neural architecture search and hyperparameter optimization for PyTorch, focusing on tabular data and time series forecasting.