A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
☆41May 1, 2016Updated 9 years ago
Alternatives and similar repositories for adversarial-autoencoder
Users that are interested in adversarial-autoencoder are comparing it to the libraries listed below
Sorting:
- Implementation of Adversarial Autoencoder with Theano☆40Jul 6, 2016Updated 9 years ago
- Chainer implementation of adversarial autoencoder (AAE)☆256Mar 7, 2018Updated 7 years ago
- Audio captioning RNN model in Keras☆14Aug 27, 2016Updated 9 years ago
- Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…☆24Jul 24, 2016Updated 9 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆210Aug 25, 2016Updated 9 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Apr 4, 2017Updated 8 years ago
- ☆11Apr 11, 2019Updated 6 years ago
- Convolutional REpresenations for Music Analysis☆12Jul 5, 2016Updated 9 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆104Mar 28, 2016Updated 9 years ago
- Implementations of popular deep learning models in Theano+Lasagne☆24Jul 12, 2017Updated 8 years ago
- a DRAW model for colored images in tensorflow☆48Aug 30, 2018Updated 7 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Sep 8, 2017Updated 8 years ago
- Code to implement SIMILE algorithm from the paper entitled "Smooth Imitation Learning for Online Sequence Prediction" from ICML 2016☆13May 25, 2016Updated 9 years ago
- Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"☆16Dec 17, 2018Updated 7 years ago
- Differentiable neural computers☆27Nov 16, 2016Updated 9 years ago
- Adversarial Non-linear Independent Component Analysis☆50Oct 17, 2017Updated 8 years ago
- Information Theory Toolkit☆19Sep 29, 2018Updated 7 years ago
- Code for Attentive Recurrent Comparators☆58Mar 3, 2017Updated 9 years ago
- Implementation of a Variational Auto-Encoder in Theano☆381Jul 9, 2017Updated 8 years ago
- Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks☆18Mar 22, 2018Updated 7 years ago
- ☆10Mar 4, 2016Updated 9 years ago
- OpenCL build of pytorch - (in-progress, not useable)☆14Jun 12, 2017Updated 8 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Sep 24, 2020Updated 5 years ago
- Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.☆30Jan 1, 2016Updated 10 years ago
- Simple and light framework for building neural nets with different architectures 2.0 (Python)☆13Mar 23, 2016Updated 9 years ago
- This is the code used in the paper "Diagonal RNNs in Symbolic Music Modeling"☆17Apr 18, 2017Updated 8 years ago
- Predictive State Recurrent Neural Networks☆18May 18, 2020Updated 5 years ago
- Least Squares GANs in Tensorflow☆17Apr 20, 2017Updated 8 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆37Jan 10, 2018Updated 8 years ago
- Interpolate and extrapolate video frames using cGAN☆37Dec 13, 2016Updated 9 years ago
- BICO is a fast streaming algorithm and reduction technique for the k-means problem. It is a python implementation of the original code fr…☆38Jan 17, 2019Updated 7 years ago
- ☆16Jun 13, 2017Updated 8 years ago
- Implementation of the VRAE☆59Apr 24, 2021Updated 4 years ago
- Least Squares Generative Adversarial Network implemented in Chainer☆18Dec 11, 2017Updated 8 years ago
- MXNet implementation of AC-BLSTM☆23Apr 3, 2019Updated 6 years ago
- A small helper library for building directed acyclic graphs, trainable by gradient descent, in Theano☆20Nov 22, 2016Updated 9 years ago
- Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".☆27Jun 8, 2016Updated 9 years ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆123Dec 10, 2017Updated 8 years ago
- An attempt to implement the recurrent attention model (RAM) from "Recurrent Models of Visual Attention" (Mnih+ 2014)☆43Oct 2, 2020Updated 5 years ago