jramapuram / CVAE
Convolutional Variational Autoencoder
☆34Updated 5 years ago
Alternatives and similar repositories for CVAE:
Users that are interested in CVAE are comparing it to the libraries listed below
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 8 years ago
- GANs with multiple Discriminators☆78Updated 2 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 8 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- Denoising Variational Autoencoder☆34Updated 8 years ago
- ☆25Updated 6 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 5 years ago
- Variational Information Bottleneck☆16Updated 6 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 5 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Implementation of a Variational Auto-Encoder in TensorFlow☆209Updated 8 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 7 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆38Updated 7 years ago
- Tensorflow Implementation of GAN modeling for sequential data☆69Updated 7 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆41Updated 6 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆40Updated 6 years ago
- Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"☆51Updated 7 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆48Updated 8 years ago
- (beta-)VAE Tensorflow☆50Updated 6 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago
- ☆16Updated 7 years ago
- Adversarial AutoEncoder implemented with MXNet☆25Updated 6 years ago
- Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'☆16Updated 8 months ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago