Welcome to Texar-PyTorch’s documentation!

Texar is a modularized, versatile, and extensible toolkit for machine learning and text generation tasks.

If you work with TensorFlow, check out the documentation of Texar (TensorFlow).

• Overview

• Examples
  • Examples by Models/Algorithms
  • Examples by Tasks

API

• HParams
• Data
  • Tokenizer
  • Vocabulary
  • Embedding
  • Data Sources
  • Data Loaders
  • Data Iterators
  • Data Utilities
• Core
  • Attention Mechanism
  • Cells
  • Layers
  • Optimization
• Modules
  • ModuleBase
  • Embedders
  • Encoders
  • Decoders
  • Classifiers
  • Regressors
  • EncoderDecoders
  • Pre-trained
  • Connectors
  • Networks
• Loss Functions
  • MLE Loss
  • Policy Gradient Loss
  • Reward
  • Adversarial Loss
  • Entropy
  • Loss Utilities
• Executor
  • Executor
  • Conditions
  • Metrics
  • Actions
• Evaluations
  • BLEU
  • Accuracy
• Utilities
  • Frequent Use
  • IO
  • DType
  • Shape
  • Dictionary
  • String
  • Meta
  • Misc
  • AverageRecorder