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Tags: Science and math
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Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

Source code for "DeepDTA: deep drug-target binding affinity prediction"

  • protein-ligand-interactions
  • convolutional-neural-networks

Interactive 2D wave optics simulator. Turn any image into a refractive scene, add sources, watch waves refract, diffract and interfere. Probes, intensity maps, video export.

Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".

Azure friendly DICOMweb part 18 .NET server with qido-rs, wado-rs, stow-rs, wado-uri RESTful implementation

  • dicom
  • dicomweb
  • dicomcloud
  • wado

High performance computational platform in Python for the spectral Galerkin method

  • spectral-methods
  • galerkin
  • fenics
  • turbulence

TranslatedAcademic research library for DSH — search, cite, approve imports, hand off notes. Also: a research literature library plugin for DeepSeek Harness: search papers, include sources, approve imports into the library, and hand off note leads to other plugins in the same session.