dev4488 / VAE_gumble_softmaxLinks
pytorch implementation of VAE-Gumble-Softmax
☆63Updated 5 years ago
Alternatives and similar repositories for VAE_gumble_softmax
Users that are interested in VAE_gumble_softmax are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution☆208Updated 6 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
- implements optimal transport algorithms in pytorch☆99Updated 3 years ago
- Implementation of Sparsemax activation in Pytorch☆161Updated 5 years ago
- PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)☆183Updated 4 years ago
- Variational Transformers for Diverse Response Generation☆81Updated 11 months ago
- pytorch neural network attention mechanism☆147Updated 6 years ago
- Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"☆14Updated 4 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 5 years ago
- Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"☆77Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated last year
- Code for the "Neural Expectation Maximization" paper.☆126Updated 2 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆146Updated 2 years ago
- Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"☆168Updated 6 years ago
- Explore OpenReview papers for ICLR (with citation counts, acceptance status, and ratings)!☆88Updated 4 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 6 years ago
- Transformer Variational Autoencoder experiment☆50Updated 6 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆162Updated 2 years ago
- This repo is for our paper "ControlVAE: Controllable Variational Autoencoder" published at ICML 2020. It can be used for text generation,…☆94Updated 2 years ago
- Pytorch Implementation of "Neural Discrete Representation Learning"☆88Updated 7 years ago
- This is a PyTorch implementation of the ICLR 2017 paper "HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS" (https://openreview.net/pdf?i…☆51Updated 7 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 6 years ago
- PyTorch implementation for The Scattering Compositional Learner (SCL)☆32Updated 5 years ago
- ☆197Updated 2 years ago
- Implementation of Stochastic Beam Search using Fairseq☆104Updated 6 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- A machine learning library for PyTorch☆92Updated 2 years ago