Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
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A curated list of community detection research papers with implementations.
A pure Python implementation of Apache Spark's RDD and DStream interfaces.
Python-based implementations of algorithms for learning on imbalanced data.
Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.