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Count your code, quickly.
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
A lean C++ library for working with point cloud data
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
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
A weather server supporting Campbell Scientific and Davis Instruments stations with lots of data-sharing options
Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.