zzw-zwzhang / Awesome-of-Time-Series-Prediction
A curated list of time series prediction resources.
☆53Updated 3 years ago
Alternatives and similar repositories for Awesome-of-Time-Series-Prediction:
Users that are interested in Awesome-of-Time-Series-Prediction are comparing it to the libraries listed below
- ☆49Updated 2 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆53Updated 3 years ago
- Open code for PriceGraph☆69Updated 10 months ago
- Reproduce AAAI22-FactorVAE☆59Updated last year
- ☆62Updated 2 years ago
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆127Updated 2 years ago
- The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".☆31Updated 3 years ago
- ☆52Updated 4 years ago
- Multi-scale Two-way Deep Neural Network☆44Updated 4 years ago
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆23Updated 3 years ago
- ☆101Updated 3 years ago
- A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"☆44Updated 2 years ago
- Fintech literature, including journal, conference, book and useful links☆92Updated 2 years ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆28Updated last month
- The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on t…☆92Updated 3 months ago
- ☆66Updated 4 years ago
- ☆40Updated 2 years ago
- ☆41Updated last year
- ☆19Updated 3 years ago
- ☆17Updated 2 years ago
- This is the project for deep learning in stock market prediction.☆219Updated 3 months ago
- ☆92Updated last year
- Code for paper "Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions"☆15Updated 3 years ago
- Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction☆42Updated 3 years ago
- ☆54Updated 3 years ago
- Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019☆171Updated 5 years ago
- Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…☆92Updated 8 months ago
- ☆48Updated 4 years ago
- The implementation of "modeling financial time-series with generative adversarial networks"☆62Updated 2 years ago
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction☆158Updated 5 years ago