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numpy

Exact reproducibility of stochastic simulations for parallel and serial algorithms simultaneously Random Stream Chunking

msuzen

Preamble  Figure: Visual description of random stream chunking, M.Suzen (2017) The advent of using computational sciences approaches, i.e., data science and machine learning, in the industry becomes more common practice in almost all organisations due to the democratisation of data science tools...

Solving Knights Tour using a Neural Network

Atul Vinayak

8 x 8 Knight's Tour generated by Neural Network I recently came across this post by Dimitry Brant: Knight’s Tours Using a Neural Network. This version is implemented in C++ with flat arrays. A properly vectorized numpy re-implementation is long overdue, so I decided to give it a shot. A knight's...

Collaborative data science: High level guidance for ethical scientific peer reviews

msuzen

Preamble Catalan Castellers are collaborating (Wikipedia) Availability of distributed code tracking tools and associated collaborative tools make life much easier in building collaborative scientific tools and products. This is now especially much more important in data science as it is...