codekansas / gandlf
Generative Adversarial Networks in Keras
☆45Updated 3 years ago
Alternatives and similar repositories for gandlf:
Users that are interested in gandlf are comparing it to the libraries listed below
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 7 years ago
- Scrapes the abstracts to NIPS 2017 papers.☆40Updated 7 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 8 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- ☆69Updated 6 years ago
- Montréal Deep Learning Summer School 2016 material☆100Updated 8 years ago
- Deep Learning over PyTorch☆61Updated 7 years ago
- Forward Thinking NIPS 2017☆106Updated 7 years ago
- Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.☆29Updated 9 years ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆125Updated 7 years ago
- Install TensorFlow on AWS GPU-instance☆28Updated 8 years ago
- D-NTM paper repo☆26Updated 7 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- ☆62Updated 7 years ago
- Code for Attentive Recurrent Comparators☆57Updated 7 years ago
- ☆45Updated 7 years ago
- Residual network block in Keras☆72Updated 8 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- ☆29Updated 7 years ago
- Implementation of Adversarial Autoencoder with Theano☆40Updated 8 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 7 years ago
- Analytics for Deep Learning projects.☆49Updated 8 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆102Updated 7 years ago
- ☆45Updated 8 years ago
- Tensorflow implementation of Graph Convolutional Network☆77Updated 4 years ago
- Quick and Dirty TensorFlow command framework to train and evaluate models and make inference☆56Updated 5 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 5 years ago
- Learning RNN Hierarchies☆45Updated 8 years ago
- Generative Models with TensorFlow☆31Updated 9 years ago
- A Keras implementation of PixelRNN☆25Updated 8 years ago