asyml / texar
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
Why this job: topics: natural-language-processing, tensorflow, deep-learning, machine-learning
What it does
- Rich Pre-trained Models, Rich Usage with Uniform Interfaces. BERT, GPT2, XLNet, etc, for encoding, classification, generation, and composing complex models with other Texar components!
- Fully Customizable at multiple abstraction level. both novice-friendly and expert-friendly.
- Versatile to support broad tasks, models, algorithms, data processing, evaluation, etc.
- Modularized for maximal re-use and clean APIs, based on principled decomposition of *Learning-Inference-Model Architecture*.
Get started
pip install texar- Maintenance
- Active
- Last commit 3 months ago
- Stars
- 2,392
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.2.4
- Released 6 years ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 79% closed
- 33 still open
- Pull requests
- 106 merged
- 8 waiting
- Releases
- 6
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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| JohnSnowLabs / spark-nlp | 4,163 | 8 days ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 100%
- Perl <1%
- Shell <1%
Topics
- machine-learning
- natural-language-processing
- tensorflow
- deep-learning
- text-generation
- python
- machine-translation
- dialog-systems
- texar
- bert
- gpt-2
- xlnet
Project record
- JobAI libraries and models
- StatusListed
- Commits1,720
- Forks367
- Watching74
- Stars in 28 days+2
- CreatedJul 22, 2017
- First seen by usNov 7, 2026
- CheckedNov 8, 2026