DATA-SCIENCE-BOWL-2018
importedsoftware/data-science-bowl-2018
DATA-SCIENCE-BOWL-2018 Find the nuclei in divergent images to advance medical discovery
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Documentation
- unknown
- Tags
- colab · data-science-bowl · data-science-bowl-2018 · google-colab · jupyter-notebook · kaggle-competition · keras · machine-learning
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ASF-YOLOdata-science-bowl-2018
[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
- MCADS-Decoderdata-science-bowl-2018
Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention - Accepted in CVPR 2025
- Food-Image-Recognitiongoogle-colab
A system that takes food images as an input, recognizes the food automatically and gives the nutritional-facts as an output.
- medsynthgoogle-colab
Generate realistic multi-lingual synthetic medical records with OCR artifacts to support healthcare AI development and data research.
- rsna-2024-lumbar-spinekaggle-competition
Silver Medal Solution for the Kaggle Competition: RSNA 2024 Lumbar Spine Degenerative Classification
- labodockgoogle-colab
LABODOCK: A Colab-Based Molecular Docking Tools
- api.github.com/repos/kamalkraj/DATA-SCIENCE-BOWL-2018retrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2018-01-30, 92 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/3.json→ .entries["data-science-bowl-2018"]
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