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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...
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
C library for high-throughput sequencing data formats
A generic interface for the environmental perception of automated driving functions in virtual scenarios.
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
Practical volume computation and sampling in high dimensions
A handy calculator, based on Rust and WebAssembly.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.
This is a class module in beta state to implement computations with large integers and reals/rationals numbers, while proposing representation of numerical values as scientific notation, allowing to obtain several cohorts for the same number (a lot of fun!).