:spider_web: Mesh optimization, mesh smoothing.
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:spider_web: Mesh optimization, mesh smoothing.
R package for detecting doublets in single-cell RNA sequencing data
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
a numpy-like fast vector module for micropython, circuitpython, and their derivatives
A C++14-compatible physical units library with no dependencies and a single-file delivery option. Emphasis on safety, accessibility, performance, and developer experience.
The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.
A C/C++ header file for fast 32-bit division remainders (and divisibility tests) on 64-bit hardware.
pyMOR - Model Order Reduction with Python
Collection of self-contained header-only libraries for C++17
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".
CEED Library: Code for Efficient Extensible Discretizations
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.
Automated 3D cell detection in very large images
:spider_web: Simple mesh generator inspired by distmesh.
Associated Repository for "Translation between Molecules and Natural Language"
scPerturb: A resource and a python/R tool for single-cell perturbation data
Open-source software for exploring and analyzing large, high-dimensional image-derived data.
Optimising chemical reactions using machine learning
Date and time manipulation for modern Fortran
Learning cell communication from spatial graphs of cells
:spider_web: Compute interesting points, areas, and volumes in simplex meshes of any dimension.
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.