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Gluon CV Toolkit

Python 1,829 379 Updated Feb 15, 2019

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Python 21,717 4,848 Updated Jan 31, 2019

Automatically "block" people in images (like Black Mirror) using a pretrained neural network.

Python 1,817 173 Updated Nov 19, 2018

Awesome Generative Adversarial Networks with tensorflow

Python 246 64 Updated Jan 11, 2019

Collection of technical/paper notes related to reinforcement learning, with compact summary and detailed mathematical derivations.

TeX 1 1 Updated Sep 25, 2018

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

Jupyter Notebook 1,405 891 Updated Feb 15, 2019

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …

Jupyter Notebook 2,240 684 Updated Jan 11, 2019

AI conference deadline countdowns

HTML 1,274 273 Updated Feb 14, 2019

Minimal and clean examples of machine learning algorithms implementations

Python 7,260 1,212 Updated Feb 13, 2019

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Python 4,606 1,507 Updated Jan 31, 2019

LaTeX Template for Typesetting Arizona State University Dissertations and Theses

TeX 22 3 Updated Jul 31, 2018

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Python 3,468 789 Updated Feb 16, 2019

Code for the paper "Improved Techniques for Training GANs"

Python 1,631 487 Updated Nov 21, 2018

TensorFlow Tutorials

Jupyter Notebook 2 1 Updated Jun 21, 2016

The classical paper list with code about generative adversarial nets

4,225 1,529 Updated Jan 7, 2019

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

2,180 1,537 Updated Mar 5, 2016

Code for Ragav Venkatesan, Parag Shridhar Chandakkar, Baoxin Li "Simpler non-parametric methods provide as good or better results to multiple-instance learning." at the IEEE International Conferenc…

MATLAB 7 3 Updated Oct 18, 2016

This toolbox is support material for the book on CNN (http://www.convolution.network) and the grad level course CSE591 (http://www.ragav.net/cse591).

Jupyter Notebook 39 28 Updated Aug 16, 2017

The most cited deep learning papers

TeX 17,881 3,382 Updated Oct 24, 2018

An Open Source Machine Learning Framework for Everyone

C++ 120,656 72,062 Updated Feb 16, 2019

Evaluation of Deep Learning Frameworks

2,067 323 Updated Apr 17, 2017

A data pipeline framework for machine learning

Python 785 251 Updated Feb 9, 2019

A Theano framework for building and training neural networks

Python 1,136 351 Updated Feb 12, 2019

Residual networks implementation using Keras-1.0 functional API

Python 943 432 Updated Jan 9, 2018
Python 532 177 Updated Jun 13, 2017

Keras code and weights files for popular deep learning models.

Python 4,665 1,462 Updated Jan 17, 2018

Deep Learning for humans

Python 38,247 14,593 Updated Feb 16, 2019

A curated list of awesome Machine Learning frameworks, libraries and software.

Python 38,131 9,410 Updated Feb 14, 2019

Browse Reddit from your terminal

Python 3,747 189 Updated Feb 14, 2019

Probabilistic Modeling Toolkit for Matlab/Octave.

HTML 1,212 674 Updated Feb 9, 2019