{"payload":{"pageCount":2,"repositories":[{"type":"Public","name":"pnpxai","owner":"OpenXAIProject","isFork":false,"description":"Plug and Play XAI: Explain Your AI Models with Ease","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":40,"forksCount":1,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-11T06:34:56.010Z"}},{"type":"Public","name":"pnp_xai","owner":"OpenXAIProject","isFork":false,"description":"Demo code for PnP XAI system","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-02T05:39:31.654Z"}},{"type":"Public","name":"PyConKorea2019-Tutorials","owner":"OpenXAIProject","isFork":false,"description":"Tutorials about Layer-wise Relevance Propagation (LRP) and SHapley Additive exPlanations (SHAP)","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":2,"starsCount":67,"forksCount":23,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-09-13T02:05:01.048Z"}},{"type":"Public","name":"attribution-preservation","owner":"OpenXAIProject","isFork":true,"description":"Attribution Preservation in Network Compression for Reliable Network Interpretation, NeurIPS 2020","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":4,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-09-28T07:41:40.628Z"}},{"type":"Public","name":"MC-LAVE-RL","owner":"OpenXAIProject","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":"2021-09-03T08:09:51.279Z"}},{"type":"Public","name":"PTAP","owner":"OpenXAIProject","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-08-11T03:52:36.645Z"}},{"type":"Public","name":"Factors-Decomposer-Entangler-Network","owner":"OpenXAIProject","isFork":true,"description":"Tensorflow implementation of \"Plug-in Factorization for Latent Representation Disentanglement\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":12,"forksCount":3,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-11-10T23:21:19.932Z"}},{"type":"Public","name":"Preprocessed_IXI_Dataset","owner":"OpenXAIProject","isFork":false,"description":"IXI dataset, preprocessed to normalized brain volume maps.","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":1,"starsCount":26,"forksCount":8,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-10-29T11:06:55.262Z"}},{"type":"Public","name":"mc2-net","owner":"OpenXAIProject","isFork":true,"description":"Tensorflow implementation of \"MC2-Net: Motion Correction Network for Multi-Contrast Brain MRI\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":11,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-09-02T05:48:53.279Z"}},{"type":"Public","name":"GNNExplainer-Tutorial","owner":"OpenXAIProject","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":51,"forksCount":7,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-08-24T08:13:47.103Z"}},{"type":"Public","name":"Interactive_Attention_Learning","owner":"OpenXAIProject","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":12,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-08-16T00:39:00.395Z"}},{"type":"Public","name":"explainable_information_retrieval","owner":"OpenXAIProject","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":14,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-08-14T04:29:53.591Z"}},{"type":"Public","name":"dac","owner":"OpenXAIProject","isFork":false,"description":"Deep amortized clustering","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":20,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-07-27T04:13:25.492Z"}},{"type":"Public","name":"Neural-Conversation-Models-Response-Evaluation","owner":"OpenXAIProject","isFork":false,"description":"Neural Conversation Models","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":10,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-07-09T13:08:09.872Z"}},{"type":"Public","name":"stable-baselines-tf2","owner":"OpenXAIProject","isFork":false,"description":"Explainable & Easy-to-debug Deep Reinforcement Learning Framework","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":15,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-03-10T05:01:22.006Z"}},{"type":"Public","name":"NeuralPipeline_DSTC8","owner":"OpenXAIProject","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":11,"forksCount":8,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-03-03T06:47:00.575Z"}},{"type":"Public","name":"Explaining_Decision_of_Time_Series_Data","owner":"OpenXAIProject","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":13,"forksCount":1,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-12-19T12:03:43.362Z"}},{"type":"Public","name":"vae-paraphrase","owner":"OpenXAIProject","isFork":true,"description":"Tensorflow implementation of \"Deep Generative Framework for Paraphrase\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":1,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-12-19T11:53:05.552Z"}},{"type":"Public","name":"Relational-Automatic-Statistician","owner":"OpenXAIProject","isFork":false,"description":"Expainable Baysian Models for Smooth Time Series Datasets (modified)","allTopics":[],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":21,"forksCount":5,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-12-19T11:27:48.258Z"}},{"type":"Public","name":"One-Shot-Learning","owner":"OpenXAIProject","isFork":false,"description":"Matching Networks Tensorflow 2 Implementation for few-shot AD diagnosis","allTopics":["tensorflow","keras","keras-tensorflow","tensorflow-v2"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":21,"forksCount":10,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-12-19T11:22:15.384Z"}},{"type":"Public","name":"MRI_based_alzheimer-s_diagnostic_model","owner":"OpenXAIProject","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":12,"forksCount":2,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-12-19T11:21:24.601Z"}},{"type":"Public","name":"LRP_for_LSTM_Korean_dataset","owner":"OpenXAIProject","isFork":false,"description":"LRP for LSTM using Korean dataset(NSCM)","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":20,"forksCount":2,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-12-19T11:17:05.122Z"}},{"type":"Public","name":"Tutorials","owner":"OpenXAIProject","isFork":false,"description":"tutorials of XAI project","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":73,"forksCount":33,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-12-19T11:09:07.282Z"}},{"type":"Public","name":"SHAP-Tutorial","owner":"OpenXAIProject","isFork":false,"description":"Model Agnostic Explanations","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":18,"forksCount":1,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-08-12T08:00:34.948Z"}},{"type":"Public","name":"Subsampling_aliasing_artifact_eliminator","owner":"OpenXAIProject","isFork":false,"description":"A MR image reconstruction method using multilayer perceptron","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":14,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-07-30T07:43:25.885Z"}},{"type":"Public","name":"Joint-AFA-Classification","owner":"OpenXAIProject","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":23,"forksCount":11,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-07-30T02:02:15.115Z"}},{"type":"Public","name":"TAEML","owner":"OpenXAIProject","isFork":false,"description":"An official code of TAEML (Task-Adaptive Ensemble of Meta-Learners)","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":0,"starsCount":13,"forksCount":6,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-07-30T02:01:07.210Z"}},{"type":"Public","name":"Confident_classifier","owner":"OpenXAIProject","isFork":false,"description":"Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":14,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-07-29T20:23:33.913Z"}},{"type":"Public","name":"Variational_Dropouts","owner":"OpenXAIProject","isFork":false,"description":"A Library of Variational Dropouts ","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":15,"forksCount":5,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-07-29T07:48:31.092Z"}},{"type":"Public","name":"Financial-Expert-Korean-Quot","owner":"OpenXAIProject","isFork":false,"description":"quotation phrase from sentences in order to extract macro economic indicator and expert opinions(거시 경제 지표 및 전문가 여론 자료 추출을 위한 인용문 태거)","allTopics":[],"primaryLanguage":{"name":"Perl","color":"#0298c3"},"pullRequestCount":1,"issueCount":0,"starsCount":14,"forksCount":8,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-06-11T19:58:36.362Z"}}],"repositoryCount":46,"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":"OpenXAIProject repositories"}