A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

使用Decoder-only的Transformer进行时序预测，包含SwiGLU和RoPE(Rotary Positional Embedding)，Time series prediction using Decoder-only Transformer, Including SwiGLU and RoPE(Rotary Positional Embedding)

Example projects and Tutorials demonstrating access to the Refinitiv Data Platform using the Refinitiv Data Library for Python

Google Research

A playbook for systematically maximizing the performance of deep learning models.

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

This repository includes the code that implements Bayesian inference and forecasting for the RECH model

Keras Temporal Convolutional Network.

Bayesian Deep Learning: A Survey

Deep learning modelling of orderbooks

Stock prediction with Natural Language Processing

A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning eve…