tomotopy is a Python extension of tomoto (Topic Modeling Tool) which is a Gibbs-sampling based topic model library written in C++. It utilizes a vectorization of modern CPUs for maximizing speed. The current version of tomoto supports several major topic models including
NumbaPro compiles Python code for multicore processors, accelerators, and co-processors to take maximal
advantage of your computational hardware. It is a component of Anaconda Accelerate.
Part-of-Speech Tagging, Phrase Chunking and Named Entity Recognition with Python NLTK. Taggers and chunkers trained on treebank, brown, conll2000, ieer.
ELI5 is a Python library which allows to visualize and debug various Machine Learning models using unified API. It has built-in support for several ML frameworks and provides a way to explain black-box models.
Der Autor hat den Free and Open Source Fund dazu ausgewählt, eine Spende im Rahmen des Programms Write for DOnations zu erhalten. Flask ist ein kleines und schlankes…