UNetBiomedicalDiagnosis
importeddata/unetbiomedicaldiagnosis
Contains a module for functions that build and evaluate a U-Net Model which is a modified auto-encoder image-to-image architecture that includes skip connections from encoder to decoder layers with…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- artificial-intelligence · machine-learning · medical-image-segmentation · neural-network · neural-networks · python
- 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.
- Dynamic-PyTorch-Netneural-network · neural-networks
Class to automatic create Convolutional Neural Network in PyTorch
- NDDneural-network · neural-networks
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
- deepbrainartificial-intelligence · neural-networks
Deep Learning tools for brain medical images
- U-Net-PyTorchmedical-image-segmentation · neural-network
🧠 Implement U-Net in PyTorch for effective binary image segmentation, focusing on brain tumor detection with a complete pipeline from data prep to evaluation.
- mri-biometryneural-networks
Neural Networks for Deep Regression on UK Biobank neck-to-knee body MRI
- NLP-Sentiment-Analysis-Mental-Healthneural-networks
Performing sentiment analysis for binary classification with neural networks.
- api.github.com/repos/LLeon360/UNetBiomedicalDiagnosisretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-06-07, 8 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/7.json→ .entries["unetbiomedicaldiagnosis"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.