Texar
A modular toolkit for machine learning, natural language processing, and text generation with TensorFlow and PyTorch versions.
What is Texar?
Texar is a modular toolkit for machine learning, natural language processing, and text generation that provides a library of reusable components for building and experimenting with models. It solves the problem of rapid prototyping and experimentation by offering versatile, customizable modules that work with both TensorFlow and PyTorch, supporting tasks like encoding, classification, and generation with pre-trained models.
Machine learning researchers and practitioners, especially those working on NLP and text generation tasks, who need a flexible toolkit for fast prototyping and experimentation with complex models.
Developers choose Texar for its dual framework support, rich pre-trained model integrations, and high modularity, which allows seamless composition of models and algorithms while maintaining compatibility with native TensorFlow and PyTorch APIs.
Overview
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
Use Cases
Best For
- Building encoder-decoder models for sequence-to-sequence tasks
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