⚡ Open-source software for deep learning-based digital pathology
- deep-learning
- machine-learning
- digital-pathology
- computational-pathology
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⚡ Open-source software for deep learning-based digital pathology
Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.
Axon/Myelin segmentation using Deep Learning
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
👩💻 Matrix and other math, accelerated by WebGPU and WASM
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
C# math expression library with symbolic computation support
MCP server for spatial transcriptomics analysis through natural language interfaces.
Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
Workbench for practical machine learning in Ruby.
chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models
A dependency-free Linear Algebra, Statistics, and Machine Learning library written from scratch in V