Thinklab-SJTU / LinSATNetLinks
Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".
☆75Updated last year
Alternatives and similar repositories for LinSATNet
Users that are interested in LinSATNet are comparing it to the libraries listed below
Sorting:
- ☆107Updated last year
- ☆30Updated last year
- End-to-end distributionally robust optimization☆36Updated 2 years ago
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆41Updated last year
- Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"☆13Updated 4 years ago
- ☆69Updated 4 years ago
- The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on t…☆106Updated 10 months ago
- Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.☆162Updated 4 months ago
- This forked repo additionally includes our DoubleAdapt (KDD'23) and MASTER (AAAI'24) for re-experiment.☆138Updated 10 months ago
- ☆66Updated last year
- 强化学习进行量化金融☆38Updated 3 years ago
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆24Updated 4 years ago
- Code for the paper "Smart 'Predict, then Optimize'"☆84Updated last year
- SigFormer: Signature Transformer for Deep Hedging (ICAIF 2023)☆19Updated 2 years ago
- Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…☆20Updated last year
- Implementation of Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts☆30Updated 3 years ago
- pseudocode and algorithms for the paper "Alpha$^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning"☆158Updated last year
- ☆107Updated 4 years ago
- ☆30Updated 2 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆30Updated last year
- A curated list of time series prediction resources.☆54Updated 3 years ago
- Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…☆103Updated last year
- Official implementation of PRUDEX-Compass☆52Updated 2 years ago
- Papers for AI + quantitative investment☆127Updated 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
- ☆52Updated 8 months ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆33Updated 8 months ago
- repository for Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance☆29Updated 2 years ago
- MASA: Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management.☆44Updated last year
- ☆34Updated 9 months ago