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Tags: Science and math
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73–96 of 155 · Most stars

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.

A C/C++ header file for fast 32-bit division remainders (and divisibility tests) on 64-bit hardware.

  • performance

Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk

CEED Library: Code for Efficient Extensible Discretizations

  • ceed
  • high-order
  • exascale-computing
  • api

Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome

  • cancer-genomics
  • cnv-detection
  • single-cell
  • phylogeny

High performance computational platform in Python for the spectral Galerkin method

  • spectral-methods
  • galerkin
  • fenics
  • turbulence

A high-performance, high precision, zero allocation fixed-point decimal library for financial applications

  • golang
  • high-performance
  • zero-allocation
  • money

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk