CLIPn
importedtherapeutics/clipn
A contrastive learning approach for integration of high-content screens
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
- AltschulerWu-Lab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/AltschulerWu-Lab/CLIPn
- Documentation
- unknown
- Tags
- contrastive-learning · drug-discovery · phenotypic-profiling
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- clampcontrastive-learning · drug-discovery
Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
- NSF4SLcontrastive-learning · drug-discovery
NSF4SL is a negative-sample-free model for prediction of synthetic lethality (SL) based on a self-supervised contrastive learning framework.
- contrastive-brain-age-predictioncontrastive-learning
Code for the paper "Contrastive learning for regression in multi-site brain age prediction" | ISBI 2023 https://doi.org/10.1109/ISBI53787.2023.10230733
- NICE-EEGcontrastive-learning
[ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii. Resolving brain activity for biological plausibility.
- papagei-foundation-modelcontrastive-learning
(ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals
- pbmfcontrastive-learning
Predictive Biomarker Modeling Framework (PBMF)
- api.github.com/repos/AltschulerWu-Lab/CLIPnretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-07-18, 6 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/15.json→ .entries["clipn"]
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