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Tags: Science and math
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217–240 of 461 · Most stars

A library designed to ease geographic coordinate format conversions, and determine sun/moon information in C#

  • moon
  • coordinates
  • longitude
  • latitude

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.

Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.

  • hubmap
  • imaging
  • openmicroscopy
  • ome-tiff

Cirno's Perfect Math Library: Just about everything you need for 2D/3D games. Hopefully.

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

  • performance

The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)

pyMOR - Model Order Reduction with Python

  • python
  • model-reduction
  • model-order-reduction
  • control-systems

Supernodal sparse direct solver. https://portal.nersc.gov/project/sparse/superlu/

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

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

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

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

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".

Schema and generated objects for biolink data model and upper ontology

  • biolink
  • monarchinitiative
  • gene-ontology
  • datamodel