matthewmackay / reversible-rnnLinks
Code for reversible recurrent neural networks
☆39Updated 6 years ago
Alternatives and similar repositories for reversible-rnn
Users that are interested in reversible-rnn are comparing it to the libraries listed below
Sorting:
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆40Updated 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
- SparseMAP: differentiable sparse structure inference☆111Updated 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
- Code accompanying the paper "Effective Estimation of Deep Generative Language Models".☆25Updated 5 years ago
- [ACL 2018] Conditional Generators of Words Definitions☆33Updated 6 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 4 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 5 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 5 years ago
- PhD thesis (updating) of Jiatao Gu from HKU☆19Updated 6 years ago
- This repository contains the code used for Ordered Memory paper☆30Updated 5 years ago
- ☆28Updated 3 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆40Updated 6 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks☆35Updated 7 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆27Updated 7 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Cooperative Learning of Disjoint Syntax and Semantics☆50Updated 6 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
- Code for "A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations" (NAACL 2019)☆67Updated 4 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 7 years ago
- ☆24Updated 5 years ago
- ☆33Updated 8 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
- An implementation of semi-supervised VAE for morphology reinflection.☆26Updated 6 years ago
- Variational Transformers for Diverse Response Generation☆81Updated 11 months ago
- "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019☆21Updated 5 years ago