snu-mllab / DisentanglementICML19Links
"Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019
☆21Updated 6 years ago
Alternatives and similar repositories for DisentanglementICML19
Users that are interested in DisentanglementICML19 are comparing it to the libraries listed below
Sorting:
- Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"☆14Updated 6 years ago
- ☆22Updated 5 years ago
- Masked Convolutional Flow☆60Updated 5 years ago
- Generates a zip archive that is uploadable to arXiv.☆45Updated 5 years ago
- ☆27Updated 5 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆41Updated 7 years ago
- Representation learning for NLP @ JSALT19☆38Updated 4 years ago
- Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"☆28Updated 5 years ago
- ☆32Updated 4 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 5 years ago
- Code for reproducing results in "Generative Model with Dynamic Linear Flow"☆71Updated 6 years ago
- Fast-Slow Recurrent Neural Networks☆14Updated 7 years ago
- Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)☆98Updated 4 years ago
- Implementation for NATv2.☆23Updated 4 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆28Updated 7 years ago
- A discrete sequential VAE☆40Updated 5 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆19Updated 4 years 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
- Code for "MIM: Mutual Information Machine" paper.☆16Updated 2 years ago
- Z Forcing: Training Stochastic RNN's, NIPS'17☆32Updated 7 years ago
- Generative Matching Networks☆29Updated 8 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆26Updated 7 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 5 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated 2 years ago
- ZForcing Repo☆40Updated 7 years ago
- ☆46Updated 6 years ago
- Implementation of Grounded Language Learning in a 3D Simulated World (DeepMind)☆34Updated 8 years ago
- Code for SegTree Transformer (ICLR-RLGM 2019).☆27Updated 5 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago