Thinklab@SJTU (@Thinklab-SJTU)
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Thinklab-SJTU

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  • Stars
    star
    7,450
  • Global Org. Rank 3,162 (Top 2 %)
  • Registered about 5 years ago
  • Most used languages
    Python
         89.7 %
    C
         5.1 %
    Raku     2.6 %
    Dockerfile
         2.6 %
  • Location 🇨🇳 China
  • Country Total Rank 1,461
  • Country Ranking
    Raku     3
    Python
         132
    Dockerfile
         1,179
    C
         2,592

Top repositories

1

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.
Python
1,656
star
2

Bench2Drive

[NeurIPS 2024 Datasets and Benchmarks Track] Closed-Loop E2E-AD Benchmark Enhanced by World Model RL Expert
Python
1,253
star
3

Awesome-LLM4AD

A curated list of awesome LLM for Autonomous Driving resources (continually updated)
941
star
4

ThinkMatch

A research protocol for deep graph matching.
Python
830
star
5

R3Det_Tensorflow

Code for AAAI 2021 paper: R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
Python
541
star
6

Crossformer

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
Python
455
star
7

pygmtools

A Python Graph Matching Toolkit.
Python
296
star
8

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".
Raku
201
star
9

CSL_RetinaNet_Tensorflow

Code for ECCV 2020 paper: Arbitrary-Oriented Object Detection with Circular Smooth Label
Python
190
star
10

awesome-ai4eda

Awesome Artificial Intelligence for Electronic Design Automation Papers.
139
star
11

Bench2DriveZoo

BEVFormer, UniAD, VAD in Closed-Loop CARLA Evaluation with World Model RL Expert Think2Drive
Python
132
star
12

Awesome-LLM4EDA

121
star
13

PPO-BiHyb

Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
Python
92
star
14

awesome-molecular-docking

We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
90
star
15

S2TLD

Newly released traffic light dataset for small object detection.
53
star
16

T2TCO

[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
Python
48
star
17

LinSATNet

Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".
Python
38
star
18

DCL_RetinaNet_Tensorflow

Code for CVPR 2021 paper: Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
Python
38
star
19

NAR-CO-Solver

Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informationis paper
Python
30
star
20

DP3

Deep Point Process by PyTorch
Python
28
star
21

GENN-Astar

Implementation of our CVPR 2021 paper "Combinatorial Learning of Graph Edit Distance via Dynamic Embedding".
Python
26
star
22

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"
Python
20
star
23

awesome-ml4tpp

Awesome machine learning for temporal point processes papers.
Python
19
star
24

ROCO

Implementation of our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs".
C
19
star
25

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
Python
18
star
26

HardSATGEN

[SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline
Python
18
star
27

GAMF

Python
16
star
28

twns

Python
16
star
29

robustMatch

Codes for CVPR 2022 Paper: "Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond"
Python
14
star
30

awesome-ai4pde

Python
11
star
31

ThinkML4CO

This repository contains open source machine learning combinatorial optimization tools, developed and maintained by Thinklab@SJTU.
10
star
32

ThinkMatch-SCGM

Python
10
star
33

GAL-VNE

Official Implementation of KDD 2023 paper: "GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction"
Python
9
star
34

DICE

Codes for KDD 2022 Paper: "DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness"
Python
8
star
35

RGM

Python
8
star
36

ACM-MILP

Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
Python
8
star
37

L2P-MIP

Python
7
star
38

DPMC

Code for AAAI 2020 paper: Clustering-aware Multiple Graph Matching via Decayed Pairwise Matching Composition
7
star
39

LIG-MM

C
6
star
40

MixSATGEN

Python
5
star
41

OpenDenseLane

4
star
42

MorphGrower

Official implementation for MorphGrower (ICML2024 Oral)
Python
4
star
43

IMCPT-SparseGM-dataset

The homepage of IMCPT-SparseGM Dataset for graph matching.
Python
3
star
44

awesome-hpo

hpo update
Python
2
star
45

EasyNAS

Python
2
star
46

ThinkMatch-runtime

The runtime builder for ThinkMatch powered by Github Actions.
Dockerfile
1
star
47

ReLIZO

Python
1
star