YangLinyi / HTML-Hierarchical-Transformer-based-Multi-task-Learning-for-Volatility-PredictionView on GitHub
Code for WWW-20 Paper: HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction
☆62Jan 5, 2024Updated 2 years ago
Alternatives and similar repositories for HTML-Hierarchical-Transformer-based-Multi-task-Learning-for-Volatility-Prediction
Users that are interested in HTML-Hierarchical-Transformer-based-Multi-task-Learning-for-Volatility-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:
- ☆10Nov 16, 2021Updated 4 years ago
- The earnings conference call dataset of S&P 500 companies☆153Aug 4, 2022Updated 3 years ago
- An Online Latent Dirichlet Allocation with Infinite Vocabulary implementation in Python.☆12Oct 4, 2018Updated 7 years ago
- Supporting repository for ICLR 2017 paper submission.☆16Feb 19, 2017Updated 9 years ago
- NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, includ…☆379Apr 18, 2022Updated 3 years ago
- ☆21Jun 20, 2019Updated 6 years ago
- ACL-21 Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis☆28Dec 29, 2023Updated 2 years ago
- SineKAN: Kolmogorov-Arnold Networks Using Sinusoidal Activation Functions☆15Dec 19, 2024Updated last year
- Repository for CIKM 2020 resource track paper: MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction☆101Feb 15, 2024Updated 2 years ago
- Implement the model of Halperin and Feldshteyn for DJIA and SP500☆10Apr 4, 2019Updated 6 years ago
- HOTTBOX: Higher Order Tensors ToolBOX. Tutorials☆38Jul 6, 2023Updated 2 years ago
- Code for ACL-2023 paper "Measuring Consistency in Text-based Financial Forecasting Models"☆16Jan 22, 2024Updated 2 years ago
- ☆54Apr 2, 2022Updated 3 years ago
- ☆20Jun 26, 2017Updated 8 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆75Aug 1, 2021Updated 4 years ago
- ☆14Nov 26, 2025Updated 3 months ago
- Multi-scale Two-way Deep Neural Network☆43Oct 22, 2020Updated 5 years ago
- ICLR 2019 paper: "textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR"☆25Dec 30, 2018Updated 7 years ago
- ☆19May 22, 2021Updated 4 years ago
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆134Apr 20, 2022Updated 3 years ago
- ☆14Apr 18, 2022Updated 3 years ago
- ☆15Feb 26, 2024Updated 2 years ago
- Code for paper "Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions"☆17Jan 13, 2022Updated 4 years ago
- ☆58Oct 29, 2021Updated 4 years ago
- A paper replication project for Time-driven feature-aware jointly deep reinforcement learning☆11Mar 12, 2021Updated 5 years ago
- Inference model for stock prediction using Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting☆14Dec 25, 2023Updated 2 years ago
- [WWW 2025] Following Clues, Approaching the Truth: Explainable Micro-Video Rumor Detection via Chain-of-Thought Reasoning☆22Feb 13, 2026Updated last month
- ⚡️Lightweight framework for NLP research, based on PyTorch⚡️☆12Apr 5, 2023Updated 2 years ago
- ☆15Jan 11, 2021Updated 5 years ago
- Machine Learning Natural Language Processing analysis of earnings call transcripts for logistic regression classification to make 'buy', …☆70May 9, 2023Updated 2 years ago
- TweetFinSent: A Dataset of Stock Sentiments on Twitter☆13Jul 7, 2022Updated 3 years ago
- Try to implement Hybrid Attention Net mentioned in 'Listening to Chaotic Whispers'☆11Feb 28, 2021Updated 5 years ago
- implementation of ACL2018: Stock Movement Prediction from Tweets and Historical Prices☆12Nov 19, 2018Updated 7 years ago
- ☆13Jan 8, 2021Updated 5 years ago
- Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019☆184Sep 7, 2019Updated 6 years ago
- Implementation of the paper "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting", https://arxi…☆19Jul 20, 2021Updated 4 years ago
- A Data Science pipeline for Algorithmic Trading: A comparative study in applications to Finance and cryptoeconomics☆14Jul 1, 2022Updated 3 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆58Aug 17, 2021Updated 4 years ago
- A novel spatial multi-modal omics framework, named PRototype-Aware Graph Adaptative aggregation (PRAGA) for spatial multi-modal omics ana…☆18May 29, 2025Updated 9 months ago