asyml/texar

Health v2 · maintenance only

Adoption not part of the score

2389 stars · 367 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Texar is a modularized Python toolkit for machine learning, especially natural language processing and text generation, built on TensorFlow. It provides reusable modules for data processing, model architectures, training algorithms, and pretrained models like BERT, GPT-2, and XLNet.

Use cases

• build text generation models in tensorflow
• fine-tune bert for classification
• train sequence-to-sequence machine translation models
• prototype nlp models quickly
• build dialog systems
• run distributed multi-gpu model training
• use pretrained gpt-2 for text generation

When to choose

• you work in TensorFlow and want modular NLP/text-generation components
• you need uniform interfaces to multiple pretrained models like BERT, GPT-2, XLNet
• you want fast prototyping of encoder-decoder and generative models
• you need both research flexibility and high-level APIs

When to avoid

• you prefer PyTorch - use Texar-PyTorch instead
• you need actively maintained libraries with recent framework support
• your project targets TensorFlow 2.x or newer ecosystems
• you only need simple off-the-shelf inference without customization

Facets

library · maturity maintenance

machine-learning nlp llm-training data-science machine-learning deep-learning python cross-platform tensorflow text-generation pretrained-models bert gpt-2 xlnet machine-translation dialog-systems natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="asyml/texar")