Stars
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Benchmark and resources for single super-resolution algorithms
A curated list of resources dedicated to StarCraft AI.
A Caffe-based implementation of very deep convolution network for image super-resolution
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Bayesian Program Learning model for one-shot learning
"End-To-End Memory Networks" in Tensorflow
A parser for Google Scholar, written in Python
📄 Awesome CV is LaTeX template for your outstanding job application
Character-level Convolutional Networks for Text Classification
The open source frontend for GitBook doc sites
This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.
Torch implementation of neural style algorithm