{"payload":{"pageCount":2,"repositories":[{"type":"Public","name":"Bench2DriveZoo","owner":"Thinklab-SJTU","isFork":false,"description":"BEVFormer, UniAD, VAD in CARLA under Closed-Loop Evaluation","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":6,"starsCount":91,"forksCount":5,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10,2,4,9,4,1,1,0,1,0,3],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-15T10:07:27.915Z"}},{"type":"Public","name":"LIG-MM","owner":"Thinklab-SJTU","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"C","color":"#555555"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":0,"license":"GNU General Public License v2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9,0,0,0,0,0,0,0,0,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-14T08:39:24.949Z"}},{"type":"Public","name":"Awesome-LLM4AD","owner":"Thinklab-SJTU","isFork":false,"description":"A curated list of awesome LLM for Autonomous Driving resources (continually updated)","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":842,"forksCount":40,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,1,1,0,0,4,1,0,0,3,1,2,1,3,0,0,1,0,0,1,1,2,1,0,0,1,1,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,2],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-13T07:22:47.102Z"}},{"type":"Public","name":"Bench2Drive","owner":"Thinklab-SJTU","isFork":false,"description":"Closed-loop multi-ability evaluation of end-to-end autonomous driving algorithms","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":10,"starsCount":799,"forksCount":57,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9,17,2,1,0,0,12,8,0,0,5,4,4,3,1,2,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-10T04:05:02.447Z"}},{"type":"Public","name":"ThinkMatch","owner":"Thinklab-SJTU","isFork":false,"description":"A research protocol for deep graph matching.","allTopics":["graph-matching","combinatorial-optimization","quadratic-assignment-problem","neural-graph-matching"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":812,"forksCount":120,"license":"Other","participation":[0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,0,0,0,0,0,0,2,2,0,1,0,0,0,0,0,1,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-30T03:12:42.087Z"}},{"type":"Public","name":"T2TCO","owner":"Thinklab-SJTU","isFork":false,"description":"[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization","allTopics":["machine-learning","graph","generative-model","diffusion","combinatorial-optimization"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":46,"forksCount":6,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,5,0,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,3,0,0,0,0,0,0,2,0,1,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-29T08:55:03.836Z"}},{"type":"Public","name":"MorphGrower","owner":"Thinklab-SJTU","isFork":false,"description":"Official implementation for MorphGrower (ICML2024 Oral)","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":0,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-22T10:06:12.322Z"}},{"type":"Public","name":"awesome-ml4co","owner":"Thinklab-SJTU","isFork":false,"description":"Awesome machine learning for combinatorial optimization papers.","allTopics":["operations-research","combinatorial-optimization","paper-list","machine-learning"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1587,"forksCount":190,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-19T01:42:38.633Z"}},{"type":"Public","name":"CornerCaseRepo","owner":"Thinklab-SJTU","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"JavaScript","color":"#f1e05a"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-18T07:44:20.211Z"}},{"type":"Public","name":"UP2ME","owner":"Thinklab-SJTU","isFork":false,"description":"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\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":17,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-17T04:38:03.254Z"}},{"type":"Public","name":"EasyNAS","owner":"Thinklab-SJTU","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-10T02:41:49.262Z"}},{"type":"Public","name":"Awesome-LLM4EDA","owner":"Thinklab-SJTU","isFork":false,"description":"","allTopics":["eda","paper-list","large-language-models","llm","llm4eda"],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":107,"forksCount":10,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-08T07:37:12.739Z"}},{"type":"Public","name":"NAR-CO-Solver","owner":"Thinklab-SJTU","isFork":false,"description":"Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informationis paper","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":27,"forksCount":5,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-27T22:24:35.631Z"}},{"type":"Public","name":"S2TLD","owner":"Thinklab-SJTU","isFork":false,"description":"Newly released traffic light dataset for small object detection.","allTopics":["dataset","object-detection","traffic-lights"],"primaryLanguage":null,"pullRequestCount":0,"issueCount":2,"starsCount":52,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-26T12:47:37.832Z"}},{"type":"Public","name":"pygmtools","owner":"Thinklab-SJTU","isFork":false,"description":"A Python Graph Matching Toolkit.","allTopics":["deep-learning","python-library","graph-matching","combinatorial-optimization"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":283,"forksCount":19,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-21T14:41:19.093Z"}},{"type":"Public","name":"EDA-AI","owner":"Thinklab-SJTU","isFork":false,"description":"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\".","allTopics":["deep-learning","pytorch"],"primaryLanguage":{"name":"Prolog","color":"#74283c"},"pullRequestCount":0,"issueCount":11,"starsCount":190,"forksCount":43,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-11T14:41:00.019Z"}},{"type":"Public","name":"IMCPT-SparseGM-dataset","owner":"Thinklab-SJTU","isFork":false,"description":"The homepage of IMCPT-SparseGM Dataset for graph matching.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-06T07:43:51.077Z"}},{"type":"Public","name":"ACM-MILP","owner":"Thinklab-SJTU","isFork":false,"description":"Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":7,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-14T09:45:20.104Z"}},{"type":"Public","name":"GAL-VNE","owner":"Thinklab-SJTU","isFork":false,"description":"Official Implementation of KDD 2023 paper: \"GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":9,"forksCount":0,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-04T02:05:30.948Z"}},{"type":"Public","name":"LinSATNet","owner":"Thinklab-SJTU","isFork":false,"description":"Official implementation of our ICML 2023 paper \"LinSATNet: The Positive Linear Satisfiability Neural Networks\".","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":38,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-12T22:14:10.342Z"}},{"type":"Public","name":"MixSATGEN","owner":"Thinklab-SJTU","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-21T08:41:24.987Z"}},{"type":"Public","name":"L2P-MIP","owner":"Thinklab-SJTU","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":7,"forksCount":0,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-26T06:11:35.820Z"}},{"type":"Public","name":"awesome-ai4eda","owner":"Thinklab-SJTU","isFork":false,"description":"Awesome Artificial Intelligence for Electronic Design Automation Papers.","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":128,"forksCount":10,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-28T16:39:33.863Z"}},{"type":"Public","name":"Crossformer","owner":"Thinklab-SJTU","isFork":false,"description":"Official implementation of our ICLR 2023 paper \"Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting\"","allTopics":["deep-learning","transformers","time-series-forecasting"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":10,"starsCount":415,"forksCount":78,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-01T08:04:07.003Z"}},{"type":"Public","name":"ThinkMatch-runtime","owner":"Thinklab-SJTU","isFork":false,"description":"The runtime builder for ThinkMatch powered by Github Actions.","allTopics":[],"primaryLanguage":{"name":"Dockerfile","color":"#384d54"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-03T14:17:57.756Z"}},{"type":"Public","name":"HardSATGEN","owner":"Thinklab-SJTU","isFork":false,"description":"[SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline","allTopics":["machine-learning","generative-model","combinatorial-optimization","satisfiability","graph-neural-networks"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":18,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-06-16T14:03:02.423Z"}},{"type":"Public","name":"PPO-BiHyb","owner":"Thinklab-SJTU","isFork":false,"description":"Implementation of our NeurIPS 2021 paper \"A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs\".","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":93,"forksCount":15,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-04-19T03:28:52.399Z"}},{"type":"Public","name":"awesome-molecular-docking","owner":"Thinklab-SJTU","isFork":false,"description":"We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.","allTopics":["bioinformatics","binding","protein-ligand-docking","molecular-dynamics","generative-model","drug-discovery","drug-design","optimal-transport","protein-protein-interaction","drug-protein-interactions","geometric-deep-learning","molecular-docking","paper-list","equivariant-representations","ai-aided-drug-discovery","drugai","machine-learning","awesome","deep-learning","awesome-list"],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":90,"forksCount":5,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-02-23T05:23:18.252Z"}},{"type":"Public","name":"awesome-ai4pde","owner":"Thinklab-SJTU","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":11,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-02-22T06:30:36.491Z"}},{"type":"Public","name":"GAMF","owner":"Thinklab-SJTU","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":16,"forksCount":2,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-02-15T08:08:21.898Z"}}],"repositoryCount":51,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Thinklab-SJTU repositories"}