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Pablo de Azevedo's Projects

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A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

autorccar icon autorccar

OpenCV Python Neural Network Autonomous RC Car

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All Algorithms implemented in C

cuml icon cuml

cuML - RAPIDS Machine Learning Library

deepbach icon deepbach

code accompanying "DeepBach: a Steerable Model for Bach Chorales Generation" paper

deoldify icon deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

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Algorithms Implemented in GoLang

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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

handson-ml3 icon handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hub icon hub

A library for transfer learning by reusing parts of TensorFlow models.

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All Algorithms implemented in Java

javascript icon javascript

A repository for All algorithms implemented in Javascript (for educational purposes only)

kubeflow icon kubeflow

Machine Learning Toolkit for Kubernetes

mit-deep-learning icon mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml-visuals icon ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

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