Rich examples are included to demonstrate the use of Texar. The implementations of cutting-edge models/algorithms also provide references for reproducibility and comparisons.
More examples are continuously added...
- seq2seq_attn: Attentional seq2seq
- transformer: Transformer for machine translation
- bert: Pre-trained BERT model for text representation
- gpt-2: Pre-trained OpenAI GPT-2 language model
- xlnet: Pre-trained XLNet language model
- vae_text: VAE with a transformer decoder for improved language modeling
- vae_text: VAE language model
- bert: Pre-trained BERT model for text representation
- sentence_classifier: Basic CNN-based sentence classifier
- xlnet: Pre-trained XLNet model for text classification/regression
- gpt-2: Pre-trained OpenAI GPT-2 language model
- vae_text: VAE language model
- xlnet: Pre-trained XLNet language model
- seq2seq_attn: Attentional seq2seq
- transformer: Transformer for machine translation
- bert: Pre-trained BERT model for text representation
- sentence_classifier: Basic CNN-based sentence classifier
- xlnet: Pre-trained XLNet model for text classification/regression