phdowling / mSDALinks
Python implementation of (linear) Marginalized Stacked Denoising Autoencoder (mSDA), as well as dense Cohort of Terms (dCoT). Based on Matlab code by Minmin Chen
☆27Updated 5 years ago
Alternatives and similar repositories for mSDA
Users that are interested in mSDA are comparing it to the libraries listed below
Sorting:
- An implementation of Mikolov's word2vec in Python using Theano and Lasagne.☆37Updated 8 years ago
- Code for Supervised Word Mover's Distance (SWMD)☆92Updated 7 years ago
- Code of NAACL paper "Unsupervised Multi-Domain Adaptation with Feature Embeddings"☆33Updated 10 years ago
- Code to accompany "A Neural Framework for Generalized Topic Models"☆67Updated 6 years ago
- Active Learning☆56Updated 10 years ago
- Molding CNNs for text (http://arxiv.org/abs/1508.04112)☆85Updated 9 years ago
- Bernoulli Embeddings for Text☆83Updated 7 years ago
- a python code for deep canonical correlation analysis (dcca) written using numpy☆37Updated 4 years ago
- Aspect-augmented Adversarial Networks for Domain Adaptation☆49Updated 8 years ago
- Python implementation of Socher et al, EMNLP2013☆36Updated 10 years ago
- Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf☆83Updated 8 years ago
- Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)☆59Updated 8 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆82Updated 3 years ago
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆39Updated 9 years ago
- Recurrent Memory Network - Torch implementation☆35Updated 8 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- Common pre-processing in NLP such as PPMI computation, SVD-based dimensionality reduction, and PLSR-based distribution prediction.☆23Updated 7 years ago
- Training autoencoders to reconstruct text to generate valuable summarizations of sentences or paragraphs☆39Updated 10 years ago
- Deep generative model for sentiment analysis☆34Updated 8 years ago
- A simple implementation of CNN based text classification in Pytorch☆66Updated 8 years ago
- Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors☆55Updated 7 years ago
- implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow☆55Updated 2 months ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 8 years ago
- Code to train state-of-the-art Neural Machine Translation systems.☆107Updated 9 years ago
- Online Max-Margin Topic Models for Accurate and Fast Text Classification [release v0.1]☆53Updated 9 years ago
- ☆62Updated 8 years ago
- ☆45Updated 8 years ago
- Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time accordin…☆48Updated 9 years ago
- GitHub LDA - Collaborative Topic Modeling for Recommending GitHub Repos☆33Updated 9 years ago
- Implementation in Tensorflow of A Structured Self-attentive Sentence Embedding with the sentiment analysis task.☆66Updated 8 years ago