⚗ A package useful for chemistry written in Python
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⚗ A package useful for chemistry written in Python
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
Numerical linear algebra software package
A Swift micro library for generating Sunrise and Sunset times on device, requiring no network access.
Spatial Single Cell Analysis in Python
A pure JavaScript medical research image viewer.
R package for detecting doublets in single-cell RNA sequencing data
A Python Package for Protein Dynamics Analysis
Vision-Language Pathology Foundation Model - Nature Medicine
Dicoogle - Open Source PACS
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
C library for reading virtual slide images
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
A Practical and Efficient NCBI Taxonomy Toolkit, also supports creating NCBI-style taxdump files for custom taxonomies like GTDB/ICTV
Tools for computational pathology
Python-centric Cookiecutter for Molecular Computational Chemistry Packages
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.
Quantum Computer Library for Everyone
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
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.
Neural networks toolbox focused on medical image analysis
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.
Produce a sharp image of a planetary system object (moon, sun, planets) from many seeing-affected frames according to the "lucky imaging" technique.