Alternatives and similar repositories for mSDA

Users that are interested in mSDA are comparing it to the libraries listed below

• gaohuang / S-WMD
  Code for Supervised Word Mover's Distance (SWMD)
  ☆92Updated 7 years ago
• enewe101 / word2vec
  An implementation of Mikolov's word2vec in Python using Theano and Lasagne.
  ☆37Updated 7 years ago
• sclincha / xrce_msda_da_regularization
  Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
  ☆12Updated 8 years ago
• yiyang-gt / feat2vec
  Code of NAACL paper "Unsupervised Multi-Domain Adaptation with Feature Embeddings"
  ☆33Updated 10 years ago
• Bollegala / svdmi
  Common pre-processing in NLP such as PPMI computation, SVD-based dimensionality reduction, and PLSR-based distribution prediction.
  ☆24Updated 7 years ago
• tam17aki / recurrent-batchnorm-tensorflow
  An implementation of LSTM with Recurrent Batch Normalization.
  ☆19Updated 8 years ago
• dallascard / neural_topic_models
  Code to accompany "A Neural Framework for Generalized Topic Models"
  ☆67Updated 6 years ago
• ehosseiniasl / deep-cca
  Deep CCA (DCCA) network
  ☆15Updated 9 years ago
• yuanzh / aspect_adversarial
  Aspect-augmented Adversarial Networks for Domain Adaptation
  ☆49Updated 8 years ago
• yftah89 / structural-correspondence-learning-SCL
  The code base for the SCL implementation used in "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017 and in "Pi…
  ☆22Updated 6 years ago
• BarakOshri / TextualReconstructor
  Training autoencoders to reconstruct text to generate valuable summarizations of sentences or paragraphs
  ☆39Updated 9 years ago
• markheimann / mSDA
  Implementation and usage of marginalized stacked denoising autoencoders (mSDA)
  ☆24Updated 9 years ago
• zhegan27 / ConvSent
  The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"
  ☆34Updated 7 years ago
• yenchanghsu / NNclustering
  The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
  ☆72Updated 6 years ago
• Diego999 / SelfSent
  Implementation in Tensorflow of A Structured Self-attentive Sentence Embedding with the sentiment analysis task.
  ☆66Updated 7 years ago
• ankitkv / SentimentVAE
  Deep generative model for sentiment analysis
  ☆34Updated 8 years ago
• dimalik / prediction_error
  Neural embeddings with negative sampling in Keras
  ☆11Updated 8 years ago
• ying-wen / deep_learning_tutorial
  ☆18Updated 8 years ago
• FeiSun / WordRep
  Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations (ACL2015)
  ☆28Updated 9 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• shamidreza / deepcca
  a python code for deep canonical correlation analysis (dcca) written using numpy
  ☆37Updated 4 years ago
• jiyfeng / dclm
  Document context language models
  ☆22Updated 9 years ago
• pdasigi / neural-semantic-encoders
  Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
  ☆59Updated 8 years ago
• lipiji / variational-autoencoder-theano
  Variational Autoencoders (VAEs) in Theano for Images and Text
  ☆54Updated 7 years ago
• bheinzerling / ran
  A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)
  ☆29Updated 7 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 6 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 3 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆76Updated 10 years ago
• jiweil / mutli-sense-embedding
  ☆46Updated 7 years ago
• c0nn3r / pytorch_highway_networks
  Highway networks implemented in PyTorch.
  ☆55Updated 8 years ago