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| 1 | +repo_name,stars,forks |
| 2 | +bioimage-io/Workshop-June2024-Madrid,4,2 |
| 3 | +Koushouu/Bioimage-Analysis-Workshop-Taipei,5,1 |
| 4 | +Koushouu/Bioimage-Analysis-Workshop-23-24,8,4 |
| 5 | +WeiChenChu/Bioimage_Analysis_ICOB_2023,1,1 |
| 6 | +German-BioImaging/RDM4mic,9,1 |
| 7 | +CellProfiler/tutorials,102,87 |
| 8 | +dwaithe/ONBI_image_analysis,18,3 |
| 9 | +guiwitz/Python_image_processing,18,11 |
| 10 | +tpecot/DeepLearningBasedSegmentationForBiologists,12,4 |
| 11 | +zeissmicroscopy/ZEN_Python_OAD_workshop,20,4 |
| 12 | +miura/ij_textbook1,7,6 |
| 13 | +mpicbg-scicomp/CourseIntroToIA,8,3 |
| 14 | +ome/omero-deployment-examples,11,12 |
| 15 | +InsightSoftwareConsortium/ITKElastix,269,29 |
| 16 | +RMS-DAIM/Python-for-Bioimage-Analysis,135,46 |
| 17 | +guiwitz/Fundamentals_image_processing,23,4 |
| 18 | +guiwitz/NumpyPandas_course,67,48 |
| 19 | +guiwitz/neubias_academy_biapy,64,34 |
| 20 | +bnsreenu/python_for_microscopists,4378,2495 |
| 21 | +VolkerH/Jupyter-Napari-Desktop,9,1 |
| 22 | +rougier/scientific-visualization-book,11240,1011 |
| 23 | +CamachoDejay/teaching-bioimage-analysis-python,17,3 |
| 24 | +CamachoDejay/Teaching-ImageJ-FIJI,4,0 |
| 25 | +jni/halfway-to-i2k-skimage-napari,6,0 |
| 26 | +scipy-2023-image-analysis/tutorial,7,8 |
| 27 | +guiwitz/DaskCourse,4,6 |
| 28 | +guiwitz/DLImaging,13,2 |
| 29 | +guiwitz/MICPy_Workshop_2022,2,0 |
| 30 | +miura/NEUBIAS_Bioimage_Analyst_Course2017,6,3 |
| 31 | +quantixed/TheDigitalCell,0,3 |
| 32 | +miura/NEUBIAS_AnalystSchool2020,13,18 |
| 33 | +miura/NEUBIAS_AnalystSchool2019,5,11 |
| 34 | +miura/NEUBIAS_AnalystSchool2018,9,5 |
| 35 | +marionlouveaux/NEUBIAS2018_TS7,0,0 |
| 36 | +miura/BIAS_Nucleus_Segmentation,0,0 |
| 37 | +miura/HTManalysisCourse,0,1 |
| 38 | +tischi/presentation-image-analysis,0,1 |
| 39 | +WhoIsJack/python-bioimage-analysis-tutorial,99,43 |
| 40 | +WhoIsJack/EMBL-CodingClub,3,4 |
| 41 | +karinsasaki/python-workshop-image-processing,31,17 |
| 42 | +karinsasaki/metabolic-networks-modelling,5,3 |
| 43 | +tischi/cellprofiler-practical-NeuBIAS-Lisbon-2017,6,2 |
| 44 | +tischi/i2k-2020-s3-zarr-workshop,0,1 |
| 45 | +datacarpentry/image-processing,112,125 |
| 46 | +kreshuklab/teaching-dl-course-2019,6,8 |
| 47 | +kreshuklab/teaching-dl-course-2023,6,5 |
| 48 | +kreshuklab/teaching-dl-course-2022,6,7 |
| 49 | +yandexdataschool/deep_vision_and_graphics,390,118 |
| 50 | +kreshuklab/predoc-course,3,2 |
| 51 | +imjoy-team/bioimage-io-resources,2,3 |
| 52 | +constantinpape/training-deep-learning-models-for-vison,8,3 |
| 53 | +constantinpape/dl-teaching-resources,4,1 |
| 54 | +JaneliaSciComp/nf-demos,2,2 |
| 55 | +JaneliaSciComp/2020AprilGitCourse,2,10 |
| 56 | +HenriquesLab/ZeroCostDL4Mic,635,143 |
| 57 | +HenriquesLab/DL4MicEverywhere,86,16 |
| 58 | +guijacquemet/CellTracksColab,50,4 |
| 59 | +tischi/image-analysis-course-material,0,0 |
| 60 | +guiwitz/PyImageCourse_beginner,41,13 |
| 61 | +ahklemm/ImageJMacro_Introduction,27,11 |
| 62 | +ahklemm/CellProfiler_Introduction,8,3 |
| 63 | +maweigert/embo_2022,0,0 |
| 64 | +maweigert/neubias_academy_stardist,31,14 |
| 65 | +maweigert/stardist-i2k,4,1 |
| 66 | +maweigert/zidas_2020_DL_intro_Part_2,0,1 |
| 67 | +holgerhennig/machine-learning-IFC,12,4 |
| 68 | +cytomining/profiling-handbook,11,7 |
| 69 | +cytomining/DeepProfiler-handbook,8,3 |
| 70 | +esgomezm/NEUBIAS_chapter_DL_2020,0,0 |
| 71 | +esgomezm/zidas2020_intro_DL,3,1 |
| 72 | +JLrumberger/DL-MBL-2021,0,3 |
| 73 | +galaxyproject/training-material,359,1058 |
| 74 | +RoccoDAnt/Defragmentation_TrainingSchool_EOSC-Life_2022,7,3 |
| 75 | +hereariim/DEEP-NAPARI,0,0 |
| 76 | +BiAPoL/Bio-image_Analysis_with_Python,234,54 |
| 77 | +BiAPoL/PoL-BioImage-Analysis-TS-GPU-Accelerated-Image-Analysis,28,9 |
| 78 | +ScaDS/BIDS-lecture-2024,39,16 |
| 79 | +computational-cell-analytics/dl-for-micro,22,0 |
| 80 | +gletort/NeubiasPasteur2023_AdvancedCellPose,8,1 |
| 81 | +rmassei/2024-jn-omero-pipeline,6,0 |
| 82 | +ScaDS/BIDS-lecture-2024,39,16 |
| 83 | +NFDI4BIOIMAGE/Cologne-Hackathon-2023,1,0 |
| 84 | +ciminilab/2021_Jamali_BiologicalImaging,1,1 |
| 85 | +COBA-NIH/2023_ImageAnalysisSurvey,3,0 |
| 86 | +juglab/EmbedSeg,127,24 |
| 87 | +scipy/scipy-cookbook,477,180 |
| 88 | +InsightSoftwareConsortium/SimpleITK-Notebooks,900,375 |
| 89 | +scikit-image/skimage-tutorials,500,372 |
| 90 | +INRIA/scikit-learn-mooc,1356,597 |
| 91 | +yandexdataschool/nlp_course,10530,2748 |
| 92 | +glencoesoftware/bioformats2raw,104,39 |
| 93 | +glencoesoftware/raw2ometiff,56,24 |
| 94 | +GReD-Clermont/simple-omero-client,11,8 |
| 95 | +GReD-Clermont/omero_batch-plugin,4,1 |
| 96 | +NL-BioImaging/biomero,26,6 |
| 97 | +ome/omero-cli-transfer,19,18 |
| 98 | +ome/ome-ngff-validator,11,9 |
| 99 | +qupath/i2k-qupath-for-python-programmers,7,1 |
| 100 | +saalfeldlab/i2k2024-lazy-workshop,3,0 |
| 101 | +royerlab/ultrack-i2k2024,4,1 |
| 102 | +BIIFSweden/I2K2024-MTIWorkshop,5,1 |
| 103 | +haesleinhuepf/i2k2024-ai-code-generation,0,0 |
| 104 | +CellMigrationLab/I2K_2024,4,0 |
| 105 | +StRigaud/clesperanto_workshop_I2K24?tab=readme-ov-file,8,0 |
| 106 | +timmonko/napari-ndev,15,2 |
| 107 | +m-albert/Virtual-I2K-2024-multiview-stitcher,5,0 |
| 108 | +HelmholtzAI-Consultants-Munich/Prompt-Engineering-LLMs-Course,6,0 |
| 109 | +vibbits/introduction-to-generative-ai,7,1 |
| 110 | +vibbits/nextflow-workshop,18,14 |
| 111 | +rmassei/ymia_python_event_series_material,5,3 |
| 112 | +SaibotMagd/RDM_system_connector,1,0 |
| 113 | +deeplife4eu/Lecture-materials,19,14 |
| 114 | +NEUBIAS/training-resources,60,29 |
| 115 | +cxli233/Online_R_learning,552,115 |
| 116 | +cxli233/FriendsDontLetFriends,7041,285 |
| 117 | +ome/ome2024-ngff-challenge,21,20 |
| 118 | +KatherLab/patho_prompt_injection,1,0 |
| 119 | +RMS-DAIM/introduction-to-image-analysis,6,6 |
| 120 | +jatkinson1000/rse-skills-workshop,13,13 |
| 121 | +Graylab/DL4Proteins-notebooks,672,116 |
| 122 | +CellMigrationLab/V4SDB_Winter_School_2025,1,0 |
| 123 | +rmcelreath/stat_rethinking_2024,1770,204 |
| 124 | +scverse/scanpy-tutorials,235,122 |
| 125 | +abcucberkeley/Parallel_Fiji_Visualizer,11,2 |
| 126 | +nobias-fht/advanced-scripting,2,0 |
| 127 | +German-BioImaging/omero-ontop-mappings,2,3 |
| 128 | +NFDI4BIOIMAGE/omero-vitessce,12,1 |
| 129 | +NFDI4BIOIMAGE/LEO,2,0 |
| 130 | +SaibotMagd/dmtxSampleCreator,2,0 |
| 131 | +tstoeter/datenbiene,2,1 |
| 132 | +cmohl2013/omero-arc,4,3 |
| 133 | +DragaDoncila/napari-scipy2025-workshop,4,2 |
| 134 | +BiAPoL/TrendsInMicroscopy_2025,0,0 |
| 135 | +bioimage-io/bioimageio-chatbot,45,13 |
| 136 | +fefossa/2023_CourseImageAnalysis_NanoCell,1,1 |
| 137 | +NFDI4BIOIMAGE/BHG2023-OMERO-ARC,1,4 |
| 138 | +aicjanelia/BioImagingAI,15,1 |
| 139 | +Shenggan/BCCD_Dataset,444,220 |
| 140 | +DeepMicroscopy/MIDOG,14,5 |
| 141 | +bupt-ai-cz/BALNMP,68,14 |
| 142 | +PathologyDataScience/BCSS,177,23 |
| 143 | +ImagingDataCommons/IDC-Tutorials,46,21 |
| 144 | +fmi-faim/image-processing-basics,7,0 |
| 145 | +klauck/data_visualization_tutorial,0,0 |
| 146 | +HMS-IAC/qupath-workshop,4,1 |
| 147 | +erickmartins/training,4,5 |
| 148 | +FrancisCrickInstitute/introduction-to-image-analysis,9,3 |
| 149 | +uhlmanngroup/shapeanalysis101,11,2 |
| 150 | +uhlmanngroup/nextflow101,5,1 |
| 151 | +uhlmanngroup/imagequantification101,6,2 |
| 152 | +kevinyamauchi/embo-bia-2025,5,1 |
| 153 | +kaabl/PygamePrompts,5,1 |
| 154 | +ScaDS/ai4medicine-2025,2,1 |
| 155 | +IMISE/MI-Lab-E04-FDM,1,0 |
| 156 | +ScaDS/embo-lsm-bia-2025,1,0 |
| 157 | +fchollet/deep-learning-with-python-notebooks,20032,9042 |
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