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updated docs examples
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ZhitingHu committed Aug 30, 2018
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### RNN / Seq2seq ###

* [language_model_ptb](./language_model_ptb): Basic RNN language model
* [seq2seq_attn](./seq2seq_attn): Attentional seq2seq
* [seq2seq_configs](./seq2seq_configs): Seq2seq implemented with Texar model template.
* [seq2seq_rl](./seq2seq_rl): Attentional seq2seq trained with policy gradient.
* [hierarchical_dialog](./hierarchical_dialog): Hierarchical recurrent encoder-decoder model for conversation response generation.
* [torchtext](./torchtext): Use of torchtext data loader
* [language_model_ptb](https://github.com/asyml/texar/tree/master/examples/language_model_ptb): Basic RNN language model
* [seq2seq_attn](https://github.com/asyml/texar/tree/master/examples/seq2seq_attn): Attentional seq2seq
* [seq2seq_configs](https://github.com/asyml/texar/tree/master/examples/seq2seq_configs): Seq2seq implemented with Texar model template.
* [seq2seq_rl](https://github.com/asyml/texar/tree/master/examples/seq2seq_rl): Attentional seq2seq trained with policy gradient.
* [hierarchical_dialog](https://github.com/asyml/texar/tree/master/examples/hierarchical_dialog): Hierarchical recurrent encoder-decoder model for conversation response generation.
* [torchtext](https://github.com/asyml/texar/tree/master/examples/torchtext): Use of torchtext data loader

### Transformer (Self-attention) ###

* [transformer](./transformer): Transformer for machine translation
* [vae_text](./vae_text): VAE with a transformer decoder for improved language modeling
* [transformer](https://github.com/asyml/texar/tree/master/examples/transformer): Transformer for machine translation
* [vae_text](https://github.com/asyml/texar/tree/master/examples/vae_text): VAE with a transformer decoder for improved language modeling

### Variational Autoencoder (VAE) ###

* [vae_text](./vae_text): VAE language model
* [vae_text](https://github.com/asyml/texar/tree/master/examples/vae_text): VAE language model

### GANs / Discriminiator-supervision ###

* [seqGAN](./seqgan): GANs for text generation
* [text_style_transfer](./text_style_transfer): Discriminator supervision for controlled text generation
* [seqGAN](https://github.com/asyml/texar/tree/master/examples/seqgan): GANs for text generation
* [text_style_transfer](https://github.com/asyml/texar/tree/master/examples/text_style_transfer): Discriminator supervision for controlled text generation

### Reinforcement Learning ###

* [seq2seq_rl](./seq2seq_rl): Attentional seq2seq trained with policy gradient.
* [seqGAN](./seqgan): Policy gradient for sequence generation
* [rl_gym](./rl_gym): Various RL algoritms for games on OpenAI Gym
* [seq2seq_rl](https://github.com/asyml/texar/tree/master/examples/seq2seq_rl): Attentional seq2seq trained with policy gradient.
* [seqGAN](https://github.com/asyml/texar/tree/master/examples/seqgan): Policy gradient for sequence generation
* [rl_gym](https://github.com/asyml/texar/tree/master/examples/rl_gym): Various RL algoritms for games on OpenAI Gym

### Memory Network ###

* [memory_network_lm](./memory_network_lm): End-to-end memory network for language modeling
* [memory_network_lm](https://github.com/asyml/texar/tree/master/examples/memory_network_lm): End-to-end memory network for language modeling

### Classifier / Predictions ##

* [sentence_classifier](./sentence_classifier): Basic CNN-based sentence classifier
* [sequence_tagging](./sequence_tagging): BiLSTM-CNN model for Named Entity Recognition (NER)
* [sentence_classifier](https://github.com/asyml/texar/tree/master/examples/sentence_classifier): Basic CNN-based sentence classifier
* [sequence_tagging](https://github.com/asyml/texar/tree/master/examples/sequence_tagging): BiLSTM-CNN model for Named Entity Recognition (NER)

---

## Examples by Tasks

### Language Modeling ###

* [language_model_ptb](./language_model_ptb): Basic RNN language model
* [vae_text](./vae_text): VAE language model
* [seqGAN](./seqgan): GAN + policy gradient
* [memory_network_lm](./memory_network_lm): End-to-end memory network for language modeling
* [language_model_ptb](https://github.com/asyml/texar/tree/master/examples/language_model_ptb): Basic RNN language model
* [vae_text](https://github.com/asyml/texar/tree/master/examples/vae_text): VAE language model
* [seqGAN](https://github.com/asyml/texar/tree/master/examples/seqgan): GAN + policy gradient
* [memory_network_lm](https://github.com/asyml/texar/tree/master/examples/memory_network_lm): End-to-end memory network for language modeling

### Machine Translation ###

* [seq2seq_attn](./seq2seq_attn): Attentional seq2seq
* [seq2seq_configs](./seq2seq_configs): Seq2seq implemented with Texar model template.
* [seq2seq_rl](./seq2seq_rl): Attentional seq2seq trained with policy gradient.
* [transformer](./transformer): Transformer for machine translation
* [seq2seq_attn](https://github.com/asyml/texar/tree/master/examples/seq2seq_attn): Attentional seq2seq
* [seq2seq_configs](https://github.com/asyml/texar/tree/master/examples/seq2seq_configs): Seq2seq implemented with Texar model template.
* [seq2seq_rl](https://github.com/asyml/texar/tree/master/examples/seq2seq_rl): Attentional seq2seq trained with policy gradient.
* [transformer](https://github.com/asyml/texar/tree/master/examples/transformer): Transformer for machine translation

### Dialog ###

* [hierarchical_dialog](./hierarchical_dialog): Hierarchical recurrent encoder-decoder model for conversation response generation.
* [hierarchical_dialog](https://github.com/asyml/texar/tree/master/examples/hierarchical_dialog): Hierarchical recurrent encoder-decoder model for conversation response generation.

### Text Style Transfer ###

* [text_style_transfer](./text_style_transfer): Discriminator supervision for controlled text generation
* [text_style_transfer](https://github.com/asyml/texar/tree/master/examples/text_style_transfer): Discriminator supervision for controlled text generation

### Classification ###

* [sentence_classifier](./sentence_classifier): Basic CNN-based sentence classifier
* [sentence_classifier](https://github.com/asyml/texar/tree/master/examples/sentence_classifier): Basic CNN-based sentence classifier

### Sequence Tagging ###

* [sequence_tagging](./sequence_tagging): BiLSTM-CNN model for Named Entity Recognition (NER)
* [sequence_tagging](https://github.com/asyml/texar/tree/master/examples/sequence_tagging): BiLSTM-CNN model for Named Entity Recognition (NER)

### Games ###

* [rl_gym](./rl_gym): Various RL algoritms for games on OpenAI Gym
* [rl_gym](https://github.com/asyml/texar/tree/master/examples/rl_gym): Various RL algoritms for games on OpenAI Gym

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