{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"FusionSF","owner":"DAMO-DI-ML","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-13T03:59:20.348Z"}},{"type":"Public","name":"NeurIPS2023-One-Fits-All","owner":"DAMO-DI-ML","isFork":false,"description":"The official code for \"One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":29,"starsCount":389,"forksCount":55,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-08T06:05:18.174Z"}},{"type":"Public","name":"ICDM2023-Tutorial-Time-Series","owner":"DAMO-DI-ML","isFork":false,"description":"ICDM’23 Tutorial, “Robust Time Series Analysis and Applications: A Interdisciplinary Approach”","allTopics":["timeseries","machinelearning","deeplearning","datamining"],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":10,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-03T01:55:43.728Z"}},{"type":"Public","name":"CIKM2023-GCformer","owner":"DAMO-DI-ML","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-13T03:03:13.424Z"}},{"type":"Public","name":"KDD2023-DCdetector","owner":"DAMO-DI-ML","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":18,"starsCount":152,"forksCount":16,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-09T02:18:54.830Z"}},{"type":"Public","name":"KDD2022-Tutorial-Time-Series","owner":"DAMO-DI-ML","isFork":false,"description":"KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective","allTopics":["data-mining","deep-learning","time-series","forecasting","robustness","anomaly-detection"],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":28,"forksCount":4,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-22T18:53:21.620Z"}},{"type":"Public","name":".github","owner":"DAMO-DI-ML","isFork":false,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-08-03T07:02:47.777Z"}},{"type":"Public","name":"KDD2022-Quatformer","owner":"DAMO-DI-ML","isFork":false,"description":"Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":25,"forksCount":4,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-05-12T14:12:44.367Z"}},{"type":"Public","name":"Interactive-Generalized-Additive-Models","owner":"DAMO-DI-ML","isFork":false,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-02-21T22:33:00.926Z"}},{"type":"Public","name":"ICASSP2023-SaDI","owner":"DAMO-DI-ML","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-02-17T06:26:18.956Z"}},{"type":"Public","name":"CIKM22-TFAD","owner":"DAMO-DI-ML","isFork":false,"description":"Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis","allTopics":["machine-learning","deep-learning","signal-processing","timeseries","time-series","anomaly-detection"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":5,"starsCount":45,"forksCount":8,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-30T11:02:56.633Z"}},{"type":"Public","name":"Neurips2021-Submodular-Ruleset","owner":"DAMO-DI-ML","isFork":false,"description":"Source code of NeurIPS'21 paper: Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach","allTopics":["explainable-ai","explainable-ml","xai","machine-learning","optimization"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":2,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-08T19:29:07.753Z"}},{"type":"Public","name":"NeurIPS2022-FiLM","owner":"DAMO-DI-ML","isFork":false,"description":"Source code of NeurIPS'22 paper: FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting","allTopics":["timeseries","machinelearning","deeplearning","signalprocessing","timeseries-forecasting"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":32,"forksCount":4,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-10-31T02:21:35.449Z"}},{"type":"Public","name":"AI-for-Time-Series-Papers-Tutorials-Surveys","owner":"DAMO-DI-ML","isFork":false,"description":"A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.","allTopics":["data-science","machine-learning","data-mining","ai","deep-learning","time-series","forecasting","spatio-temporal-analysis","anomaly-detection","temporal-data","temporal-point-processes"],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":144,"forksCount":26,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-06-10T22:03:04.575Z"}},{"type":"Public","name":"ICML2022-FEDformer","owner":"DAMO-DI-ML","isFork":false,"description":"Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":14,"starsCount":190,"forksCount":30,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-06-10T01:13:37.871Z"}},{"type":"Public","name":"AAAI2022-HCM","owner":"DAMO-DI-ML","isFork":false,"description":"Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":36,"forksCount":5,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-06-10T00:16:40.362Z"}}],"repositoryCount":16,"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":"Repositories"}