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Framework for benchmarking vector search engines
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained