mourga / variational-lstm
PyTorch implementation of Variational LSTM and Monte Carlo dropout.
☆56Updated 2 years ago
Alternatives and similar repositories for variational-lstm
Users that are interested in variational-lstm are comparing it to the libraries listed below
Sorting:
- Code for evaluating uncertainty estimation methods for Transformer-based architectures in natural language understanding tasks.☆43Updated 3 years ago
- pytorch implementation of "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks" LSTM(https://arxiv.org/abs/1512.…☆21Updated 4 years ago
- Source code for the ACL 2019 paper "Attention-based Conditioning Methods for External Knowledge Integration"☆60Updated 2 years ago
- Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively …☆125Updated 2 years ago
- An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.☆133Updated 5 years ago
- LSTM and QRNN Language Model Toolkit for PyTorch 1.2.0!☆21Updated 5 years ago
- Official Code for Towards Transparent and Explainable Attention Models paper (ACL 2020)☆36Updated 2 years ago
- How certain is your transformer?☆25Updated 4 years ago
- Interpretable Neural Predictions with Differentiable Binary Variables☆84Updated 4 years ago
- [WNGT(2019)] On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation☆11Updated 3 years ago
- Code for the paper "A Stable Variational Autoencoder for Text Modelling"☆26Updated 5 years ago
- Truth-Conditional Captions for Time Series Data. EMNLP 2021. Harsh Jhamtani, Taylor Berg-Kirkpatrick☆11Updated 3 years ago
- Time-Aware Transformer-based Network for Clinical Notes Series Prediction☆23Updated last year
- Pytorch implementation of DiffMask☆55Updated last year
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 2 years ago
- Autoencoder version on Transformer model using PyTorch☆27Updated 5 years ago
- Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2…☆39Updated 2 years ago
- Sequence to Sequence Models in PyTorch☆44Updated 9 months ago
- Variational Transformers for Diverse Response Generation☆81Updated 9 months ago
- Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"☆23Updated 5 years ago
- EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling☆31Updated 3 years ago
- ☆24Updated 5 years ago
- Variational Attention for Sequence to Sequence Models☆20Updated 7 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 5 years ago
- ☆29Updated 2 years ago
- Contrastive Learning for Time Series☆38Updated 2 years ago
- RNN Encoder-Decoder in PyTorch☆44Updated 9 months ago
- Simple reimplementation of Maximum Density Divergence for Unsupervised Domain Adaptation (https://arxiv.org/abs/2004.12615) in PyTorch Li…☆26Updated 4 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆57Updated 9 months ago
- A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch☆77Updated 4 years ago