Showing 61-71 of 71 projects
A curated list of resources on large language models and foundation models for time series, spatiotemporal, and event data analysis.
A repository for collecting Graph Neural Network models for traffic forecasting.
A scalable machine learning library for time series forecasting in Python.
A scalable time-series machine learning library built with Polars for parallel feature extraction and forecasting.
A time series forecasting library for R, providing a wide range of models and tools for accurate predictions.
An AI-powered crypto trading bot that automates futures trading on platforms like Binance and Bitget.
An open-source toolkit for urban spatial-temporal data mining and traffic prediction tasks.
A TensorFlow-based sequence-to-sequence (seq2seq) RNN model for signal forecasting and time series prediction.
A comprehensive benchmark for spatio-temporal predictive learning, with a focus on AI-powered weather forecasting and video prediction.
A collection of machine learning tutorials covering various topics like anomaly detection, time series forecasting, and object detection.
A curated list of resources for time series forecasting, including papers, code, and other materials.
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