A stock prediction based on correlation adjencency matrix grapha and combinantion of gnn and lstm
☆39Mar 30, 2023Updated 3 years ago
Alternatives and similar repositories for correlation_gcn_lstm_prediction
Users that are interested in correlation_gcn_lstm_prediction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆14Feb 14, 2021Updated 5 years ago
- traffic-prediction using LSTM and GCN by pytorch☆64May 15, 2020Updated 6 years ago
- Using Spectral Temporal Graph Neural Network model for the major assignment of Time Series Analysis and Forecasting course, with multivar…☆10Mar 27, 2023Updated 3 years ago
- Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. KDD 2019.☆23Aug 26, 2020Updated 5 years ago
- ☆15May 28, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Repository for advanced traffic forecasting models integrating GCN, LSTM/Bi-LSTM, and attention mechanisms for improved accuracy, includi…☆34Aug 4, 2024Updated last year
- ☆12Feb 7, 2021Updated 5 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆58Aug 17, 2021Updated 4 years ago
- Alpha mining with DEAP-based genetic programming.☆11Jul 7, 2023Updated 2 years ago
- Code for paper "Temporal Relational Ranking for Stock Prediction"☆526Mar 4, 2021Updated 5 years ago
- Transfer Entropy between two time series - Implementation in Python☆55Feb 28, 2025Updated last year
- Price prediction for Crypto, Stock, and Index using Hybrid Graph Attention Network (GAT) and Long Short-Term Memory (LSTM) models on PyTo…☆20Dec 15, 2023Updated 2 years ago
- Papers on Spatial-Temporal Graph Neural Networks☆26May 5, 2022Updated 4 years ago
- Uisng CNN to predicte stock market trend, and feeding with 2D images☆15Sep 16, 2018Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Traffic Forecasting using Graph Convolution + LSTM model is a ML model developed during the learning process of GCN. The primary soorce o…☆27Feb 8, 2021Updated 5 years ago
- Apply machine learning algorithms in the financial market. Ensemble Model, including XGBoost, LightGBM, CNN, ResNet and LSTM.☆11Jun 5, 2022Updated 4 years ago
- Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit☆211Jul 30, 2020Updated 5 years ago
- Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets☆81Dec 6, 2024Updated last year
- Code for paper "Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions"☆17Jan 13, 2022Updated 4 years ago
- A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"☆46Apr 13, 2022Updated 4 years ago
- Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20☆51Dec 24, 2020Updated 5 years ago
- 改写了gplearn源码，原有的gplearn会把数据转为numpy，丢失了datetime和stockcode的原始信息。很难做截面的因子ic、ir分析，所以改动了相应的源码，使之可以做因子的截面ic分析。另外增加了时序函数和并行化框架ray的支持。☆23Mar 20, 2024Updated 2 years ago
- 【Framework】A Multi Factor Strategy based on XGboost, its my homework project in Tsinghua, the Introduction to Quantitative Finance, 2019 …☆18Dec 17, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆37Jul 30, 2020Updated 5 years ago
- ☆12Jul 19, 2020Updated 5 years ago
- ☆42Mar 30, 2022Updated 4 years ago
- ☆10Dec 6, 2018Updated 7 years ago
- Final project repo for UCLA CS 267A☆13Aug 29, 2020Updated 5 years ago
- The official implementation of SDGL☆40Jul 28, 2024Updated last year
- ☆23Dec 21, 2019Updated 6 years ago
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction☆169Dec 2, 2019Updated 6 years ago
- 一些研报的复现☆13Sep 11, 2018Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆20Feb 17, 2021Updated 5 years ago
- Jupyter notebook tutorials for various machine learning applications☆10Apr 6, 2026Updated 2 months ago
- my first factor-stock-selecting backtest function☆22Aug 15, 2020Updated 5 years ago
- Notebooks and Code for ML based quant strategies☆11Aug 4, 2025Updated 10 months ago
- Model-Based Reinforcement Learning for Highway Environment with MPC Planning: This repository presents an RL framework integrating Model …☆13Nov 22, 2023Updated 2 years ago
- Kernel Density Estimation: accelerated, multi-dimensional, and adaptive bandwidth☆14Aug 17, 2023Updated 2 years ago
- CS230 Deep Learning project forecasting PM2.5 pollution using weather data☆11Nov 24, 2020Updated 5 years ago