Thinklab@SJTU

Awesome-LLM4AD

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

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

Bench2Drive

[NeurIPS 2024 Datasets and Benchmarks Track] Closed-Loop E2E-AD Benchmark Enhanced by World Model RL Expert

Bench2DriveZoo

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

Crossformer

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

CSL_RetinaNet_Tensorflow

Code for ECCV 2020 paper: Arbitrary-Oriented Object Detection with Circular Smooth Label

EDA-AI

Implementations of DeepPlace, PRNet, HubRouter, PreRoutGNN and FlexPlanner.

pygmtools

A Python Graph Matching Toolkit.

R3Det_Tensorflow

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

ThinkMatch

A research protocol for deep graph matching.

Thinklab-SJTU/R3Det_Tensorflow

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

Thinklab-SJTU/CSL_RetinaNet_Tensorflow

Code for ECCV 2020 paper: Arbitrary-Oriented Object Detection with Circular Smooth Label

Thinklab-SJTU/DCL_RetinaNet_Tensorflow

Code for CVPR 2021 paper: Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

Thinklab-SJTU/DP3

Deep Point Process by PyTorch

Thinklab-SJTU/GENN-Astar

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

Thinklab-SJTU/ROCO

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

Thinklab-SJTU/awesome-ml4tpp

Awesome machine learning for temporal point processes papers.

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

Thinklab-SJTU/twns

Thinklab-SJTU/robustMatch

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

Thinklab-SJTU/ThinkMatch-SCGM

Thinklab-SJTU/ThinkML4CO

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

Thinklab-SJTU/DICE

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

Thinklab-SJTU/RGM

Thinklab-SJTU/DPMC

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

Thinklab-SJTU/LANTERN-NeurIPS-2019

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

Thinklab-SJTU/OpenDenseLane

Thinklab-SJTU/awesome-hpo

hpo update

Thinklab-SJTU/M3C

Thinklab-SJTU/RhinoBird2022_AI4Murals

Thinklab-SJTU/UniversePartialMatching