kremerj / vaeLinks
Variational autoencoder implementation in tensorflow following the classic paper by Kingma and Welling.
☆12Updated 7 years ago
Alternatives and similar repositories for vae
Users that are interested in vae are comparing it to the libraries listed below
Sorting:
- VAE + Quantile Networks for MNIST☆12Updated 6 years ago
- a replicate of https://arxiv.org/pdf/1711.00937.pdf☆16Updated 7 years ago
- Code for reproducing results in "Generative Model with Dynamic Linear Flow"☆71Updated 5 years ago
- An implementation of zoneout regularizer on LSTM-RNN by Tensorflow☆24Updated 8 years ago
- A Tensorflow Implementation of VQ-VAE Speaker Conversion☆43Updated 7 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆28Updated 7 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆45Updated 5 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Updated 8 years ago
- Demos, pretrained models, and (WIP) code supporting Representation Mixing☆51Updated 6 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆76Updated 8 years ago
- Chainer implementation of Improving Generative Adversarial Networks with Denoising Feature Matching☆29Updated 7 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 5 years ago
- Deep variational inference in tensorflow☆56Updated 7 years ago
- ☆22Updated 6 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago
- Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"☆26Updated 5 years ago
- Analyzing deviation from orthogonality in RNNs☆16Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)☆31Updated 6 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Source code for "Towards a Deeper Understanding of Adversarial Losses under a Discriminative Adversarial Network Setting"☆42Updated 2 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago
- Code to build VAE models that are jointly conditioned.☆36Updated 7 years ago
- Python way to Read/Write TFRecords☆64Updated 7 years ago
- Highway networks implemented in PyTorch.☆55Updated 8 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- ☆85Updated 10 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago
- GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..☆25Updated 5 years ago