{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"fg-clustering","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"Explainability for Random Forest Models.","allTopics":["random-forest","explainable-ai","xai"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":1,"starsCount":26,"forksCount":7,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-04T15:16:13.706Z"}},{"type":"Public","name":"DimRed-Course","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"Material for the dimensionality reduction course","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"Creative Commons Attribution 4.0 International","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-03T15:04:50.373Z"}},{"type":"Public template","name":"XAI-Tutorials","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"Self-explanatory tutorials for different model-agnostic and model-specific XAI methods","allTopics":["xai","model-agnostic-explanations","model-specific-explanations","tutorial"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":43,"forksCount":18,"license":"Creative Commons Attribution 4.0 International","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-02T10:32:40.641Z"}},{"type":"Public","name":"oligo-designer-toolsuite","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"Develop custom oligo design pipelines.","allTopics":["probe-design","spatial-transcriptomics","oligo-design","bioinformatics"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":7,"starsCount":13,"forksCount":3,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-30T13:18:36.738Z"}},{"type":"Public","name":"data-centric-platform","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"A tool for all-kinds segmentation in microscopy imaging which encourages data centric approaches","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":12,"starsCount":8,"forksCount":5,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-28T16:44:08.132Z"}},{"type":"Public","name":"oligo-designer-toolsuite-AI-filters","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"AI plug-ins for the Oligo Designer Toolsuite package","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-26T12:32:34.363Z"}},{"type":"Public","name":"napari-organoid-counter","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"A napari plugin for counting organoids from brightfield microscopy images with deep learning","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":7,"starsCount":9,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-25T18:17:54.609Z"}},{"type":"Public","name":"Colorectal-Cancer-Organoids-Detection","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"TODO","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-17T14:19:54.570Z"}},{"type":"Public","name":"EffiDict","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":4,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-05T12:33:45.458Z"}},{"type":"Public","name":"AURORA","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"WARNING: This code base is no longer supported. It still works, but we recommended using [BrainLes AURORA](<a href=\"https://github.com/BrainLesion/AURORA/\">https://github.com/BrainLesion/AURORA/</a>) instead, which offers much more flexibility in a convenient PyPI package.","allTopics":["segmentation","metastasis"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"GNU Affero General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-17T13:12:19.256Z"}},{"type":"Public","name":"Echo2Pheno","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"A deep learning application to uncover echocardiographic phenotypes","allTopics":["deep-learning","statistical-analysis","echocardiography"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-22T10:19:38.997Z"}},{"type":"Public","name":"Quicksetup-ai","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"A flexible template, as a quick setup for deep learning projects in pytorch-lightning ","allTopics":["pytorch-lightning","deep-learning"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":9,"starsCount":43,"forksCount":7,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-26T14:57:45.962Z"}},{"type":"Public","name":"DL-lecture-tutorials","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"Crash course on Introduction to AI and its medical applications. Tutorials with focus on intro to DL, overfitting, class imbalance.","allTopics":["pytorch","tutorial","deep-learning"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"Creative Commons Attribution 4.0 International","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-06-21T12:56:44.033Z"}},{"type":"Public","name":"EMcapsulins_segmentation","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"segmentation models for EMcapsulins segmentation","allTopics":["mac","semantic","segmentation","emcapsulin"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":2,"license":"GNU Affero General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-05-12T09:13:48.843Z"}},{"type":"Public","name":"automatedTesting","owner":"HelmholtzAI-Consultants-Munich","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":5,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-12-14T16:19:12.602Z"}},{"type":"Public","name":"PySDDR","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"A python package for semi-structured deep distributional regression","allTopics":["explainable-ml","distributional-regression","multi-modal-data"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":20,"forksCount":8,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-12-09T15:46:52.876Z"}},{"type":"Public","name":"ArtsyML","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"Code for blending people in images or videos with biological images using style transfer.","allTopics":["video-processing","people-segmentation","style-transfer"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":4,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-21T15:38:52.928Z"}},{"type":"Public","name":"Automatic-Cell-Counter","owner":"HelmholtzAI-Consultants-Munich","isFork":false,"description":"A GUI based on napari for counting cells automatically in cell migration experiments","allTopics":["image-processing","imaging","napari"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":39,"forksCount":10,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-21T15:31:49.055Z"}},{"type":"Public","name":"pytorch_fnet","owner":"HelmholtzAI-Consultants-Munich","isFork":true,"description":"A workflow for the generation of cell infection markers from brightfield microscopy images","allTopics":["deep-learning","image-translation","microscopy-images"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":61,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-21T14:50:02.396Z"}},{"type":"Public archive","name":"lightning-hydra-template","owner":"HelmholtzAI-Consultants-Munich","isFork":true,"description":"PyTorch Lightning + Hydra. A very user-friendly template for rapid, scalable and reproducible ML experimentation with best practices. ⚡🔥⚡","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":629,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-03-06T22:09:06.563Z"}},{"type":"Public","name":"Malis-Loss","owner":"HelmholtzAI-Consultants-Munich","isFork":true,"description":"Tensorflow and Pytorch Version of Malis Loss","allTopics":["tensorflow","pytorch"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":0,"starsCount":17,"forksCount":3,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-11-08T21:02:26.035Z"}}],"repositoryCount":21,"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":"HelmholtzAI-Consultants-Munich repositories"}