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Thinklab@SJTU's Projects

acm-milp icon acm-milp

Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation

awesome-ai4eda icon awesome-ai4eda

Awesome Artificial Intelligence for Electronic Design Automation Papers.

awesome-llm4ad icon awesome-llm4ad

A curated list of awesome LLM for Autonomous Driving resources (continually updated)

awesome-ml4co icon awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

awesome-molecular-docking icon awesome-molecular-docking

We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.

bench2drive icon bench2drive

Closed-loop multi-ability evaluation of end-to-end autonomous driving algorithms

crossformer icon crossformer

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

dice icon dice

Codes for KDD 2022 Paper: "DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness"

dp3 icon dp3

Deep Point Process by PyTorch

dpmc icon dpmc

Code for AAAI 2020 paper: Clustering-aware Multiple Graph Matching via Decayed Pairwise Matching Composition

eda-ai icon eda-ai

Implementation of NeurIPS 2021 paper "On Joint Learning for Solving Placement and Routing in Chip Design" & NeurIPS 2022 paper "The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design".

gal-vne icon gal-vne

Official Implementation of KDD 2023 paper: "GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction"

genn-astar icon genn-astar

Implementation of our CVPR 2021 paper "Combinatorial Learning of Graph Edit Distance via Dynamic Embedding".

hardsatgen icon hardsatgen

[SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline

lantern-neurips-2019 icon lantern-neurips-2019

Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""

linsatnet icon linsatnet

Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".

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