azure-mlbest-practicesdeep-learningmachine-learningmlflownatural-languagenatural-language-inferencenatural-language-processingnatural-language-understandingnlinlpnlupretrained-modelssotatexttext-classificationtransfomer
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| .github | ||
| benchmarks | ||
| docs | ||
| scenarios | ||
| tests | ||
| tools | ||
| utils_nlp | ||
| .flake8 | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| AUTHORS.md | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| README.md | ||
| SETUP.md | ||
| pyproject.toml | ||
README.md
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| master | staging |
NLP Best Practices
This repository will provide examples and best practices for building NLP systems, provided as Jupyter notebooks.
Planning etc documents
All feature planning is done via projects, milestones, and issues in this Github repository.
Contributing
This project welcomes contributions and suggestions. Before contributing, please see our contribution guidelines.