Machine learning resources

Blogs and Literature

Distill is dedicated to clear explanations of machine learning.

OpenAI is a non-profit AI research company.

Topics

Capsule Networks (Geoffrey Hinton's Dynamic Routing: State of the art for MINST)

Tensorflow implementation of CapsNet.

Capsule Networks. This is a pretty good early explanation of capsule networks. In addition, it has a ipython notebook where it talks about the evolution of convolutional networks and why CapsNets might be the future.

Adversarial Attacks on CapsNets. Haven't tried running this. However it explores ways in which we can perform adversarial attacks on recognition neural nets. Two things with one repo.

Keras implementation of CapsNets. Keras implementation also demonstrates reconstruction results. It also has a list of other implementations at the bottom.

Generative adversarial networks (GANs)

Tensorflow implementation of DCGAN

Tensorflow implementation of WGAN. This looks useful for understanding how to implement the critic (or discriminator) loss in practice. Haven't tried running the code.

Long short-term memory Networks (LSTM)

Keras LSTM Text Generator. This is a implementation of LSTM in Keras. I referred to it to understand the textual encoding. It has a corresponding blog article.

Natural language processing

An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition

Stanford CS 124: From Languages to Information

Weak supervision

Weak Supervision: The New Programming Paradigm for Machine Learning

Datasets

CelebA

Large scale celebrity faces with attributes

Pokemon

First 150 Pokemon Hi Res Images