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Tags: Science and math
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121–144 of 268 · 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.

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

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

The TiGL Geometry Library to process aircraft geometries in pre-design.

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

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

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".

Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.

TriWild: Robust Triangulation with Curve Constraints

  • traingulation
  • meshing
  • geometry-processing