wead-hsu / semi-vae
Re-implementation for paper 'Semi-supervised learning with deep generative models' using lasagne. There is no guarantee for bug free.
☆14Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for semi-vae
- Highway networks implemented in PyTorch.☆56Updated 7 years ago
- Deep generative model for sentiment analysis☆34Updated 7 years ago
- A PyTorch Implementation of "Quasi-Recurrent Neural Networks"☆48Updated 6 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 6 years ago
- Professor Forcing, NIPS'16☆45Updated 7 years ago
- TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"☆30Updated 6 years ago
- ☆25Updated 5 years ago
- Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"☆16Updated 5 years ago
- code for our IJCAI 2018 paper : "Lifelong Domain Word Embedding via Meta-Learning"☆11Updated 5 years ago
- Sparsifying Variational Dropout in Tensorflow☆22Updated 7 years ago
- Materials for implementing and reproducing results in the NIPS paper.☆23Updated 10 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆57Updated 7 years ago
- Collapsed Gibbs sampling for Latent Dirichlet Allocation☆18Updated 12 years ago
- TensorFlow implementation of "Improved Variational Autoencoders for Text Modeling using Dilated Convolutions"☆55Updated 5 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 6 years ago
- codes for Variational Autoencoder for Semi-supervised Text Classification☆39Updated 6 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Updated 7 years ago
- tensorflow Implementation of https://github.com/facebookresearch/MIXER☆12Updated 7 years ago
- Context Selection for Embedding Models☆27Updated 7 years ago
- Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Th…☆17Updated 8 years ago
- An implementation of LSTM with Recurrent Batch Normalization.☆19Updated 7 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 8 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- a replicate of https://arxiv.org/pdf/1711.00937.pdf☆16Updated 7 years ago
- ☆64Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 6 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 7 years ago
- This repo is for residual-connected sentence encoder for NLI.☆12Updated 6 years ago