matthewmackay / reversible-rnnLinks
Code for reversible recurrent neural networks
☆40Updated 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☆41Updated 7 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆28Updated 8 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
- Repository for ACL 2019 paper☆74Updated 6 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
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
- Fast-Slow Recurrent Neural Networks☆14Updated 7 years ago
- ☆24Updated 5 years ago
- Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"☆171Updated 7 years ago
- Variational Transformers for Diverse Response Generation☆82Updated last year
- Adaptive Softmax implementation for PyTorch☆81Updated 6 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 6 years ago
- ☆27Updated 5 years ago
- Sparse and structured neural attention mechanisms☆225Updated 5 years ago
- Code for SegTree Transformer (ICLR-RLGM 2019).☆27Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- Encoding position with the word embeddings.☆84Updated 7 years ago
- Z Forcing: Training Stochastic RNN's, NIPS'17☆33Updated 8 years ago
- Code publication to the paper "Normalized Attention Without Probability Cage"☆17Updated 4 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 7 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 4 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
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆83Updated 7 years ago
- Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling☆36Updated 7 years ago
- A Structured Self-attentive Sentence Embedding Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshu…☆11Updated 8 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆44Updated 6 years ago
- Cascaded Text Generation with Markov Transformers☆129Updated 2 years ago
- Transformer Variational Autoencoder experiment☆50Updated 6 years ago
- Models and code from Learning to Predict Denotational Probabilities For Modeling Entailment☆14Updated 7 years ago