azure-mlbest-practicesdeep-learningmachine-learningmlflownatural-languagenatural-language-inferencenatural-language-processingnatural-language-understandingnlinlpnlupretrained-modelssotatexttext-classificationtransfomer
90d4b9020b
|
||
|---|---|---|
| .github | ||
| benchmarks | ||
| docs | ||
| scenarios | ||
| tests | ||
| tools | ||
| utils_nlp | ||
| .amlignore | ||
| .flake8 | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| NOTICE.txt | ||
| README.md | ||
| SETUP.md | ||
| pyproject.toml | ||
README.md
| Branch | Status | Branch | Status | |
|---|---|---|---|---|
| master | staging |
NLP Best Practices
This repository contains examples and best practices for building NLP systems, provided as Jupyter notebooks and utility functions. The focus of the repository is on state-of-the-art methods and common scenarios that are popular among researchers and practitioners working on problems involving text and language.
Getting Started
To get started, navigate to the Setup Guide, where you'll find instructions on how to setup your environment and dependencies.
Contributing
This project welcomes contributions and suggestions. Before contributing, please see our contribution guidelines.