Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

Implementation code for the paper "Generating Natural Language Adversarial Examples"

Pytorch implementation of face attention network

Serverside implementation of CrowdInside

Auto encoder for time series

A scikit-learn compatible neural network library that wraps PyTorch

StarGAN - Official PyTorch Implementation (CVPR 2018)

Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version

Decentralized Machine Learning Client

Theano code for experiments in the paper "A Hybrid Convolutional Variational Autoencoder for Text Generation."

⏰ AI conference deadline countdowns

Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704

Embedded and mobile deep learning research resources

Supplementary material to "Top-down Visual Saliency Guided by Captions" (CVPR 2017)

optional extra vector image datasets for sketch-rnn

Magenta: Music and Art Generation with Machine Intelligence

Multilayer LSTM and Mixture Density Network for modelling path-level SVG Vector Graphics data in TensorFlow

Dynamic seq2seq in TensorFlow, step by step

Minimal and Clean Reinforcement Learning Examples

Flappy Bird AI using Evolution Strategies

A course in reinforcement learning in the wild

A general-purpose encoder-decoder framework for Tensorflow

Open Source Library for GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

p2p peer-to-peer training of tensorflow models

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