aidd-codebase
importedtherapeutics/aidd-codebase
Public version of the AIDD consortium code base
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- aidd-msca
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/aidd-msca/aidd-codebase
- Documentation
- unknown
- Tags
- deep-learning · drug-discovery · pytorch-lightning
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- aidsorbpytorch-lightning
Python package for deep learning on porous materials and beyond.
- active-segmentationpytorch-lightning
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
- Coding-Agent-Guidelines-Radiotherapypytorch-lightning
This is my personal coding guidelines optimized for radiotherapy research and inspired by Andrej Karpathy's work on Claude skills. Hope you like it!
- Lung-Tumor-Segmentation-DSpytorch-lightning
Lung tumor segmentation with the UNet model.
- 50_layer_Resnetdrug-discovery
50 Layer Resnet to predict the regression values of Tetrahymena pyriformis IGC50 from 2d molecular images only
- AAVGendrug-discovery
Protein Language model for AAV capsid generation.
- api.github.com/repos/aidd-msca/aidd-codebaseretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-03-25, 11 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/54.json→ .entries["aidd-codebase"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.