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CLIPn

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therapeutics/clipn

A contrastive learning approach for integration of high-content screens

Machine-generated from the listed sources and not yet reviewed by a human.

CLIPn project image
GitHub preview card for AltschulerWu-Lab/CLIPn. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
AltschulerWu-Lab
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
contrastive-learning · drug-discovery · phenotypic-profiling
Regulatory
unknown
similar by tags

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  • 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

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sources
  1. api.github.com/repos/AltschulerWu-Lab/CLIPn
    retrieved 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 →

machine-readable

/v1/entries/15.json→ .entries["clipn"]

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