Projects in Awesome Lists by Thinklab-SJTU
A curated list of projects in awesome lists by Thinklab-SJTU .
https://github.com/thinklab-sjtu/bench2drive
[NeurIPS 2024 Datasets and Benchmarks Track] Closed-Loop E2E-AD Benchmark Enhanced by World Model RL Expert
Last synced: 14 May 2025
https://github.com/thinklab-sjtu/thinkmatch
A research protocol for deep graph matching.
combinatorial-optimization graph-matching neural-graph-matching quadratic-assignment-problem
Last synced: 15 May 2025
https://github.com/Thinklab-SJTU/ThinkMatch
A research protocol for deep graph matching.
combinatorial-optimization graph-matching neural-graph-matching quadratic-assignment-problem
Last synced: 20 Mar 2025
https://github.com/thinklab-sjtu/r3det_tensorflow
Code for AAAI 2021 paper: R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
dota object-detection rotation tensorflow
Last synced: 05 Apr 2025
https://github.com/thinklab-sjtu/crossformer
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
deep-learning time-series-forecasting transformers
Last synced: 05 Apr 2025
https://github.com/Thinklab-SJTU/Crossformer
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
deep-learning time-series-forecasting transformers
Last synced: 01 Apr 2025
https://github.com/thinklab-sjtu/pygmtools
A Python Graph Matching Toolkit.
combinatorial-optimization deep-learning graph-matching python-library
Last synced: 02 Apr 2026
https://github.com/Thinklab-SJTU/pygmtools
A Python Graph Matching Toolkit.
combinatorial-optimization deep-learning graph-matching python-library
Last synced: 01 May 2025
https://github.com/thinklab-sjtu/eda-ai
Implementations of DeepPlace, PRNet, HubRouter, PreRoutGNN and FlexPlanner.
ai4eda deep-learning eda-ai floorplan placement pytorch routing
Last synced: 12 Apr 2025
https://github.com/thinklab-sjtu/bench2drivezoo
BEVFormer, UniAD, VAD in Closed-Loop CARLA Evaluation with World Model RL Expert Think2Drive
Last synced: 04 Apr 2025
https://github.com/thinklab-sjtu/csl_retinanet_tensorflow
Code for ECCV 2020 paper: Arbitrary-Oriented Object Detection with Circular Smooth Label
angle-classification object-detection smooth-label tensorflow
Last synced: 20 Aug 2025
https://github.com/thinklab-sjtu/bench2drive-vl
Adapting VLMs to Bench2Drive.
Last synced: 29 Jun 2025
https://github.com/thinklab-sjtu/ppo-bihyb
Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
Last synced: 05 May 2025
https://github.com/thinklab-sjtu/linsatnet
Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".
Last synced: 22 Sep 2025
https://github.com/thinklab-sjtu/t2tco
[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
combinatorial-optimization diffusion generative-model graph machine-learning
Last synced: 05 Jul 2025
https://github.com/thinklab-sjtu/s2tld
Newly released traffic light dataset for small object detection.
dataset object-detection traffic-lights
Last synced: 05 Mar 2026
https://github.com/Thinklab-SJTU/ML4CO-Kit
A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).
Last synced: 11 Jun 2025
https://github.com/thinklab-sjtu/dcl_retinanet_tensorflow
Code for CVPR 2021 paper: Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
object-detection remote-sensing tensorflow
Last synced: 05 May 2025
https://github.com/Thinklab-SJTU/ML4TSPBench
Official implementation of ICLR 2025 paper: "Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search".
combinatorial-optimization diffusion-models machine-learning mcts-algorithm tsp-problem
Last synced: 11 Jun 2025
https://github.com/thinklab-sjtu/ml4tspbench
Official implementation of ICLR 2025 paper: "Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search".
combinatorial-optimization diffusion-models machine-learning mcts-algorithm tsp-problem
Last synced: 05 Sep 2025
https://github.com/thinklab-sjtu/ml4co-bench-101
ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.
adaptive-expansion atsp benchmark combinatorial-optimization consistency-models cvrp dataset diffusion-models generative-model maximum-clique maximum-cut maximum-independent-set tsp-problem
Last synced: 12 Mar 2026
https://github.com/thinklab-sjtu/genn-astar
Implementation of our CVPR 2021 paper "Combinatorial Learning of Graph Edit Distance via Dynamic Embedding".
Last synced: 30 Jul 2025
https://github.com/thinklab-sjtu/drivemoe
Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving
Last synced: 29 Jun 2025
https://github.com/thinklab-sjtu/nar-co-solver
Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informationis paper
Last synced: 05 May 2025
https://github.com/thinklab-sjtu/hardsatgen
[SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline
combinatorial-optimization generative-model graph-neural-networks machine-learning satisfiability
Last synced: 20 Aug 2025
https://github.com/thinklab-sjtu/roco
Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs".
Last synced: 05 May 2025
https://github.com/thinklab-sjtu/predictiveco-benchmark
[NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
Last synced: 05 May 2025
https://github.com/Thinklab-SJTU/PredictiveCO-Benchmark
[NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
Last synced: 11 Jun 2025
https://github.com/thinklab-sjtu/wsgnn
Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation
Last synced: 05 May 2025
https://github.com/Thinklab-SJTU/ML4CO-Bench-101
ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.
adaptive-expansion atsp benchmark combinatorial-optimization consistency-models cvrp dataset diffusion-models generative-model maximum-clique maximum-cut maximum-independent-set tsp-problem
Last synced: 11 Jun 2025
https://github.com/thinklab-sjtu/robustmatch
Codes for CVPR 2022 Paper: "Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond"
Last synced: 05 May 2025
https://github.com/thinklab-sjtu/bilaf
Official implementation of Our NeurIPS 2024 Paper "Boundary Matters: A Bi-Level Active Finetuning Method"
Last synced: 31 Jul 2025
https://github.com/thinklab-sjtu/fast-t2t
[NeurIPS2024] Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization; [NeurIPS2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
Last synced: 13 Mar 2026
https://github.com/thinklab-sjtu/acm-milp
Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
Last synced: 29 Jun 2025
https://github.com/thinklab-sjtu/gal-vne
Official Implementation of KDD 2023 paper: "GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction"
Last synced: 05 May 2025
https://github.com/thinklab-sjtu/thinkml4co
This repository contains open source machine learning combinatorial optimization tools, developed and maintained by Thinklab@SJTU.
Last synced: 02 Mar 2025
https://github.com/thinklab-sjtu/unico
[ICLR 2025] UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP
atsp diffusion-models hamiltonian-cycle jittor machine-learning neural-combinatorial-optimization satisfiability-problem travelling-salesman-problem
Last synced: 29 Jun 2025
https://github.com/thinklab-sjtu/dice
Codes for KDD 2022 Paper: "DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness"
Last synced: 12 Mar 2026
https://github.com/thinklab-sjtu/dpmc
Code for AAAI 2020 paper: Clustering-aware Multiple Graph Matching via Decayed Pairwise Matching Composition
Last synced: 08 Feb 2026
https://github.com/thinklab-sjtu/maskco
[ICLR 2026] MaskCO: Masked Generation Drives Effective Representation Learning and Exploiting for Combinatorial Optimization
Last synced: 13 Aug 2026
https://github.com/thinklab-sjtu/morphgrower
Official implementation for MorphGrower (ICML2024 Oral)
Last synced: 05 May 2025
https://github.com/thinklab-sjtu/imcpt-sparsegm-dataset
The homepage of IMCPT-SparseGM Dataset for graph matching.
Last synced: 20 Sep 2025
https://github.com/thinklab-sjtu/fld4co
[NeurIPS 2025] Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape
Last synced: 21 Feb 2026
https://github.com/thinklab-sjtu/thinkmatch-runtime
The runtime builder for ThinkMatch powered by Github Actions.
Last synced: 18 Feb 2026
https://github.com/thinklab-sjtu/up2me
Official implementation of our ICML 2024 paper "UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis"
Last synced: 13 May 2026