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Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
Lightweight, general, scalable C++ library for finite element methods
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
QuadriFlow: A Scalable and Robust Method for Quadrangulation
RTree2D is a 2D immutable R-tree for ultra-fast nearest and intersection queries in plane and spherical coordinates
means completeness and balancing, from the Arabic word الجبر
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
Tool for precise, interactive, fast and scalable FISH spot detection
C++ modules for scalar, vector and complex math. And maths.
GNU Scientific Library (GSL) bindings for Scala native