Top 7 expectation-maximization open source projects

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Code for the algorithms in the paper: Vaibhav B Sinha, Sukrut Rao, Vineeth N Balasubramanian. Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification. KDD WISDOM 2018

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Notebooks explaining the intuition behind the Expectation Maximisation algorithm

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Animated Visualizations of Popular Machine Learning Algorithms