michael-lash

Michael Lash's starred repositories

Algorithms for explaining machine learning models

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moDel Agnostic Language for Exploration and eXplanation

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Interpretability and explainability of data and machine learning models

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Information gathering framework for phone numbers

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Code for all experiments.

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Lime: Explaining the predictions of any machine learning classifier

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Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm

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Fork of http://www.pyopt.org/ (python3 compatible)

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MoHR: Recommendation Through Mixtures of Heterogeneous Item Relationships

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SASRec: Self-Attentive Sequential Recommendation

Language:PythonApache-2.069500

StellarGraph - Machine Learning on Graphs

Language:PythonApache-2.0292400

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

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Semi-supervised learning with graph embeddings

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Representation learning on large graphs using stochastic graph convolutions.

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