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I teach machines.
Variational-Autoencoder-pytorch. Implementation of a convolutional Variational-Autoencoder model in pytorch.
73Video-Pixel-Networks. Video Pixel Networks in Tensorflow
55Weights-Initializer-pytorch. A module for making weights initialization easier in pytorch.
17Github-Repositories. My collection of repositories that worth more care.
7Tensorflow-Project-Template. A best practice for tensorflow project template architecture.
2SimpleNeuralNet. Neural Network implementation with C++ using Armadillo linear algebra library
2reinforcement-learning. Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
1CS224n-Assignments. My solutions of CS224n assignments - Natural Language Processing.
1Shell-Clone. An implemented shell by our own hands.
1Neural-QA. QA model trained on the SQuAD dataset.
1Arrow-Test-Coverage. Applying test coverage on some functions in the Arrow python package.
1pytest-Playground. Trying stuff with pytest.
1ML-Course-Assignments. My solutions to assignments for Coursera course: Machine Learning by Andrew Ng
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