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pytorch-sample-codes

This repo contains sample codes in pytorch

  1. basics.py : contains the simple 2 layer network implemented in numpy and pytorch
  2. static_graph.py : contains the same 2 layer network implemented in tensorflow
  3. classify.py : char-rnn based classification model to classify surnames for 18 languages
  4. generate.py : char-rnn based generation model to generate surnames from a language code blog post
  5. simple_vae.py : Simple implementation of Variational Autoencoder
  6. conditional_vae.py : contains the implementation of Conditional Variational Autoencoder blog post
  7. hidden_rnn.py : contains the implementation of relation between hidden states and outputs of rnn blog post
  8. allennlp_basics.py : contains the implementation of pos tagging using allennlp

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