PyTorch implementation of FactorVAE
☆93Nov 21, 2024Updated last year
Alternatives and similar repositories for FactorVAE
Users that are interested in FactorVAE are comparing it to the libraries listed below
Sorting:
- Unofficial PyTorch implementation of FactorVAE☆21Jun 1, 2023Updated 2 years ago
- Reproduce AAAI22-FactorVAE☆70Sep 18, 2023Updated 2 years ago
- ☆30Mar 13, 2024Updated last year
- ☆58Feb 7, 2025Updated last year
- Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".☆351Mar 19, 2024Updated last year
- This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Fo…☆429Jun 26, 2025Updated 8 months ago
- ☆70Feb 27, 2024Updated 2 years ago
- The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on t…☆113Dec 25, 2024Updated last year
- ☆69Jun 16, 2024Updated last year
- Accepted at AAAI 25 Workshop Long Research Paper☆25Jun 6, 2025Updated 9 months ago
- 强化学习进行量化金融☆41Jul 20, 2022Updated 3 years ago
- ☆25Jan 1, 2025Updated last year
- ☆35Jan 1, 2025Updated last year
- ☆92Nov 22, 2024Updated last year
- [WWW'2024] "FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model"☆106Mar 17, 2025Updated 11 months ago
- ☆77Nov 16, 2022Updated 3 years ago
- ☆30Jul 21, 2023Updated 2 years ago
- ☆58Oct 29, 2021Updated 4 years ago
- Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets☆81Dec 6, 2024Updated last year
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆100May 16, 2025Updated 9 months ago
- Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting☆43Jun 13, 2021Updated 4 years ago
- Accepted at WWW 25 Industrial Track (oral)☆18Jun 6, 2025Updated 9 months ago
- X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies☆87Feb 25, 2024Updated 2 years ago
- The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Infor…☆291Jan 13, 2023Updated 3 years ago
- Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, I…☆432Sep 29, 2025Updated 5 months ago
- PyTorch Implementation of FinMamba☆51Jun 27, 2025Updated 8 months ago
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆134Apr 20, 2022Updated 3 years ago
- 'Portfolio Analysis, methods for portfolio optimization'☆24Jan 26, 2021Updated 5 years ago
- Testing and implementation of ML algorithms for the analysis of cryptocurrency trends.☆11Feb 20, 2024Updated 2 years ago
- Apply Graph Neural Networks to Optimize Factor Feature Extraction of FactorVAE☆13Jan 11, 2025Updated last year
- ☆118Nov 11, 2023Updated 2 years ago
- ☆39Feb 19, 2025Updated last year
- This notebook presents an example of the equal risk pricing framework with deep hedging from my paper Carbonneau, A. and Godin, F. (2020)…☆15Oct 15, 2021Updated 4 years ago
- Try to implement Hybrid Attention Net mentioned in 'Listening to Chaotic Whispers'☆11Feb 28, 2021Updated 5 years ago
- This github contains the implementation of the method proposed in MDGNN_BS paper☆12May 9, 2024Updated last year
- ☆150Updated this week
- Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.☆1,021Dec 18, 2024Updated last year
- ☆110Jun 8, 2021Updated 4 years ago
- PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".☆346May 6, 2024Updated last year