Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
- dna
- language-model
- variant-effect-prediction
- genomics
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Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Encapsulate measurements and their units in Ruby and Ruby on Rails.
A library designed to ease geographic coordinate format conversions, and determine sun/moon information in C#
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.
An extension for Inkscape that makes it easier to draw optical diagrams.
Neural networks toolbox focused on medical image analysis
Deep Reinforcement Learning for de-novo Drug Design
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.
Math.NET Symbolics
A fully featured, pythonic library for representing and using quaternions
The repository host gives no description.
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.
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
UCE is a zero-shot foundation model for single-cell gene expression data
Produce a sharp image of a planetary system object (moon, sun, planets) from many seeing-affected frames according to the "lucky imaging" technique.
pyMOR - Model Order Reduction with Python
A performance oriented 2D/3D math package for Go
Collection of self-contained header-only libraries for C++17
Supernodal sparse direct solver. https://portal.nersc.gov/project/sparse/superlu/
Image restoration for fluorescence microscopy
The repository host gives no description.
A lightweight library to calculate tensors in Swift, which has similar APIs to TensorFlow's
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.