cell_observatory_platform
importedsoftware/cell-observatory-platform
Training backend for Cell Observatory models
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- cell-observatory
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- 3d · 4d · 5d · jepa · machine-learning · mae · masked-autoencoder · microscopy · pretraining · self-supervised-learning
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- nn_project_dreamdiffusionmae · masked-autoencoder
Re-implementation of the method proposed in ''DreamDiffusion: Generating High-Quality Images from Brain EEG Signals'' by Y. Bai, X. Wang et al. for Neural Network Course exam Topics
- Hi-End-MAEmasked-autoencoder · self-supervised-learning
[MedIA 2026] Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation
- medpy3d · 4d
Medical image processing in Python
- sofima3d · 4d
Scalable Optical Flow-based Image Montaging and Alignment
- ZAugNet3d · microscopy · self-supervised-learning
ZAugNet
- kaggle_leash_belkapretraining · self-supervised-learning
11th place solution of NeurIPS 2024 - Predict New Medicines with BELKA competition on Kaggle: https://www.kaggle.com/competitions/leash-BELKA
- api.github.com/repos/cell-observatory/cell_observatory_platformretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-08-25, 4 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/24.json→ .entries["cell-observatory-platform"]
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