☆23Jun 21, 2024Updated last year
Alternatives and similar repositories for gcgru_stock_prediction
Users that are interested in gcgru_stock_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:
- A stock prediction based on correlation adjencency matrix grapha and combinantion of gnn and lstm☆39Mar 30, 2023Updated 3 years ago
- ☆14Feb 14, 2021Updated 5 years ago
- 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.☆10Jun 5, 2022Updated 3 years ago
- ☆15Aug 21, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Pytorch implementation of various traffic prediction modules(FC-LSTM, GRU, GCN, Diffusion Conv, Temporal Attention, etc.)☆12Jan 24, 2024Updated 2 years ago
- A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.☆102Apr 22, 2024Updated 2 years ago
- Creating a graph that summarizes correlations between stocks and using a Graph Neural Network to encode that information to be utilized i…☆18May 19, 2023Updated 3 years ago
- Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. KDD 2019.☆23Aug 26, 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
- ☆15May 28, 2022Updated 3 years ago
- Financial time series forecasting with multi-modality graph neural network☆54Jan 14, 2024Updated 2 years ago
- The Value at Risk (VaR) calculation, Python version☆10Nov 1, 2019Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆12Jun 22, 2022Updated 3 years ago
- ☆23Dec 21, 2019Updated 6 years ago
- ☆66Apr 13, 2021Updated 5 years ago
- This is the official repository of the paper "NRTSI: Non-Recurrent Time Series Imputation"☆15Jun 2, 2023Updated 2 years ago
- ☆20Feb 17, 2021Updated 5 years ago
- ☆12Feb 7, 2021Updated 5 years ago
- Code for the paper "Multivariate Time Series Prediction of Complex Systems Based on Graph Neural Networks with Location Embedding Graph S…☆24Nov 21, 2022Updated 3 years ago
- This is a simulator to help with backtesting your alphas offline for platform WorldQuant BRAIN☆29May 2, 2026Updated 2 weeks ago
- A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"☆46Apr 13, 2022Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A CNN-BiLSTM model for Li-ion battery state of health and remaining useful life prediction☆11Mar 25, 2024Updated 2 years ago
- Reproduction of the paper "Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations"☆12Jul 6, 2023Updated 2 years ago
- 三大boosting算法的工程实现 XGBoost、LightGBM、Catboost原理实现及常见面试问题总结,以及其他理解深刻的机器学习、深度学习文章备份☆12Jul 7, 2021Updated 4 years ago
- Code for paper "Temporal Relational Ranking for Stock Prediction"☆521Mar 4, 2021Updated 5 years ago
- ☆16Oct 9, 2024Updated last year
- Backtrader量化策略研报复现☆34Feb 23, 2022Updated 4 years ago
- Progressive Growing of U-net+☆18Jan 10, 2020Updated 6 years ago
- A novel spatio-temporal adaptive graph convolutional network model (STAGCN) based on deep learning☆23Nov 19, 2022Updated 3 years ago
- Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction☆50Jul 20, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …☆32Jun 7, 2022Updated 3 years ago
- A python-based implementation of the HAR model to forecast realized volatility on SPY.☆25Jun 22, 2020Updated 5 years ago
- Unofficial Reproduction: Capacity estimation of lithium-ion batteries based on adaptive empirical wavelet transform and long short-term m…☆12Oct 28, 2024Updated last year
- ☆10Feb 12, 2024Updated 2 years ago
- for the realization of TDformer in the paper "First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting", thank you ve…☆37Apr 17, 2023Updated 3 years ago
- State of Charge estimation for lithium-ion batteries using deep learning approach☆10May 12, 2024Updated 2 years ago
- Attribution and optimisation using a multi-factor equity risk model.☆36Jan 30, 2024Updated 2 years ago