Thinklab-SJTU / LinSATNetLinks
Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".
☆82Updated last year
Alternatives and similar repositories for LinSATNet
Users that are interested in LinSATNet are comparing it to the libraries listed below
Sorting:
- ☆30Updated last year
- ☆115Updated 2 years ago
- End-to-end distributionally robust optimization☆37Updated 2 years ago
- ☆30Updated 2 years ago
- ☆70Updated last year
- ☆69Updated 5 years ago
- The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on t…☆112Updated last year
- pseudocode and algorithms for the paper "Alpha$^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning"☆171Updated last year
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆24Updated 4 years ago
- ☆24Updated last year
- Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"☆13Updated 4 years ago
- ☆11Updated last year
- 强化学习进行量化金融☆41Updated 3 years ago
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆41Updated last year
- Fintech literature, including journal, conference, book and useful links☆99Updated 3 years ago
- This forked repo additionally includes our DoubleAdapt (KDD'23) and MASTER (AAAI'24) for re-experiment.☆144Updated last year
- Implementation of Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts☆31Updated 3 years ago
- ☆109Updated 4 years ago
- Official implementation of PRUDEX-Compass☆52Updated 2 years ago
- ☆58Updated last year
- SigFormer: Signature Transformer for Deep Hedging (ICAIF 2023)☆19Updated 2 years ago
- Code for the paper "Smart 'Predict, then Optimize'"☆87Updated last year
- repository for Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance☆30Updated 2 years ago
- Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…☆104Updated last year
- Jiahao Li, Yong Zhang, Xingyu Yang, and Liangwei Chen. "Online portfolio management via deep reinforcement learning with high-frequency d…☆24Updated 2 years ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆34Updated 11 months ago
- Multi-scale Two-way Deep Neural Network☆43Updated 5 years ago
- A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"☆46Updated 3 years ago
- ☆43Updated 3 years ago
- Papers for AI + quantitative investment☆135Updated last year