Scientific computing in pure Crystal
- crystal
- linear-algebra
- machine-learning
- autograd
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Scientific computing in pure Crystal
The Next Generation Logic Library
⚡ Open-source software for deep learning-based digital pathology
Python package for image-based profiling
Astrophotography capture and processing
Axon/Myelin segmentation using Deep Learning
A strongly-typed genetic programming framework for Python
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
Scientific library for the D programming language
A platform independent tensor library with autograd for the JVM
The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
Graph data structures with multiple heterogeneous metadata for Graphs.jl.
A set of protocols for Arithmetic, Statistics and Logical operations
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Run scripts, explore your genome, and get personalized explanations — all in natural dialogue.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
An Elixir implementation of the CONREC algorithm for topographic or isochrone maps.
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
MCP server for spatial transcriptomics analysis through natural language interfaces.
The d-SEAMS C++ core engine
Predicting Cell Health with Morphological Profiles