A library designed to ease geographic coordinate format conversions, and determine sun/moon information in C#
- moon
- coordinates
- longitude
- latitude
Repository Index
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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.
- artificial-intelligence
- clip
- pathology
- vision-and-language
An extension for Inkscape that makes it easier to draw optical diagrams.
- inkscape-extension
- optics-simulation
- python
- optics
Neural networks toolbox focused on medical image analysis
- python
- keras
- convolutional-neural-networks
- brain
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.
- hubmap
- imaging
- openmicroscopy
- ome-tiff
Produce a sharp image of a planetary system object (moon, sun, planets) from many seeing-affected frames according to the "lucky imaging" technique.
A performance oriented 2D/3D math package for Go
Image restoration for fluorescence microscopy
One open-source modeler for structures, heat and fluids, built from scratch in pure Rust: parametric part in, verified results out. Automatic all-hex and tet meshing, our own nonlinear implicit and explicit FEA, heat transfer and lattice Boltzmann CFD — every result checked against theory. For engineers and AI agents alike. Free, forever.
- cae
- cfd
- computational-mechanics
- explicit-dynamics
Ark -- Archetype-based Entity Component System (ECS) for Go.
- ecs
- entity-component-system
- go
- golang
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
- bioinformatics
- exact-optimization
- metabolomics
- paired-data
Descriptor computation(chemistry) and (optional) storage for machine learning
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".
- imaging
- ai
- cloud-computing
- medical-imaging
Matrix Algebra proGrams In Common Lisp.
- common-lisp
- matrix-algebra
- linear-algebra
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
- histology
- wsi-images
- pan-cancer-analysis
- genomics
Ankh: Optimized Protein Language Model
Download Latest Ionic v3 Weather App ->
Automated 3D cell detection in very large images
- microscopy
- cell-detection
- deep-learning
- image-analysis
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
Allocators, I/O streams, math, geometry, image and audio processing for D
- utility-library
- dlang
- linear-algebra
- computational-geometry
Graph-based molecule modeling toolkit for cheminformatics
- cheminformatics
- molecular-modeling
- chemistry
- toolkit
talk with NCBI entrez using R
Umbrella package of the 'spatstat' family................
- r
- spatial-analysis
- spatial-data
- spatstat