Natural Language Processing Best Practices & Examples

azure-ml best-practices deep-learning machine-learning mlflow natural-language natural-language-inference natural-language-processing natural-language-understanding nli nlp nlu pretrained-models sota text text-classification transfomer

Перейти к файлу

Yijing Chen e77bc18cb2 Remove yml and add license in notice		2019-07-31 20:32:58 +00:00
.github	issue template	2019-05-14 12:21:40 +01:00
docs	Intial commit to put the receipe template in	2019-04-05 13:55:58 -04:00
scenarios	Remove yml and add license in notice	2019-07-31 20:32:58 +00:00
tests	removed repeated instructions, added durations and revert back to nlpmachine	2019-07-23 17:39:28 +01:00
tools	Merge pull request #192 from microsoft/yijing-test-bug-fix	2019-07-24 14:31:52 +01:00
utils_nlp	Merge pull request #182 from microsoft/hlu/updates_for_improving_entailment_performance	2019-07-22 14:28:43 -04:00
.amlignore	Added AML Ignore	2019-06-17 16:57:08 -04:00
.flake8	change line length	2019-06-21 15:22:15 -04:00
.gitignore	Make utils pip installable using setup.py	2019-07-24 14:22:22 -04:00
.pre-commit-config.yaml	Changed python version in pre-commit-config back to 3.6	2019-06-13 14:46:57 -04:00
CONTRIBUTING.md	Rijai reposetup (#1 )	2019-04-05 19:01:56 -04:00
LICENSE	Intial commit to put the receipe template in	2019-04-05 13:55:58 -04:00
MANIFEST.in	Make utils pip installable using setup.py	2019-07-24 14:22:22 -04:00
NOTICE.txt	Remove yml and add license in notice	2019-07-31 20:32:58 +00:00
README.md	readme edits	2019-07-03 15:46:11 -04:00
SETUP.md	Make utils pip installable using setup.py	2019-07-24 14:22:22 -04:00
__init__.py	Make utils pip installable using setup.py	2019-07-24 14:22:22 -04:00
pyproject.toml	Rijai reposetup (#1 )	2019-04-05 19:01:56 -04:00
setup.py	Make utils pip installable using setup.py	2019-07-24 14:22:22 -04:00

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.