Thinklab-SJTU

Awesome machine learning for combinatorial optimization papers.

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

A curated list of awesome LLM/VLM/VLA/World Model for Autonomous Driving(LLM4AD) resources (continually updated)

A research protocol for deep graph matching.

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

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

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

A Python Graph Matching Toolkit.

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

[ICLR 2025] DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving

[CVPR 2026] Drive-π0 and DriveMoE on End-to-end Autonomous Driving

Adapting VLMs to Bench2Drive.

Awesome Artificial Intelligence for Electronic Design Automation Papers.

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

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

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

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

A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).

Newly released traffic light dataset for small object detection.

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

ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.