pbmf

Category

Software & Systems

Subcategory

unknown

License

MIT(osi)

Status

maintained

Maturity

deployed

Organization

unknown

Country

unknown

Homepage

unknown

Repository

github.com/gaarangoa/pbmf

Documentation

unknown

Tags

biomarker-discovery · clinical-trials · contrastive-learning · deep-learning

Regulatory

unknown

• gaarangoa

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.

• HiPSbiomarker-discovery

  Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis

• 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

• scConceptcontrastive-learning

  Contrastive pre-training for technology-agnostic single-cell representations beyond reconstruction

• TS-TCCcontrastive-learning

  [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

• adaptDiagclinical-trials

  Implement Bayesian adaptive design for diagnostic test clinical trials.

1. api.github.com/repos/gaarangoa/pbmf
   retrieved 2026-08-05 · via github-api

   Machine-imported from GitHub search. Last push 2025-04-21, 25 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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