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neural-turing-machine
neural-turing-machine PublicNeural Turing Machine implementation in pytorch with LSTM controller on string copy task
Python
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clustering
clustering PublicTwo unsupervised techniques - k means clustering and gaussian mixture models - are used to segment a 2 dimensional dataset. Expectation maximisation algorithm is used to estimate the responsibility…
Python 1
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gdOptimization
gdOptimization PublicImplementation of back-propagation through different convex optimization algorithms - gradient descent, gradient descent with momentum, Nesterov's accelerated momentum, RMSProp and ADAM - for a dee…
Python 2
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medium-analysis
medium-analysis PublicCrawl user data of the blogging website medium.com and create a social graph based on friendship. Analyse the graph through graph centrality measures, clustering coefficient, degree distribution an…
JavaScript
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