{"id":15643260,"url":"https://github.com/harshgeek4coder/handling_textual_data_augmentations_nlp_mlsa","last_synced_at":"2025-03-29T22:40:52.458Z","repository":{"id":106560586,"uuid":"409068294","full_name":"harshgeek4coder/Handling_Textual_Data_Augmentations_NLP_MLSA","owner":"harshgeek4coder","description":"This Repository Contains resources for the event organized in Microsoft Learn Student Ambassadors ","archived":false,"fork":false,"pushed_at":"2021-09-22T15:17:39.000Z","size":19510,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-05T00:05:41.807Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/harshgeek4coder.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-09-22T04:52:51.000Z","updated_at":"2021-09-23T08:00:11.000Z","dependencies_parsed_at":"2023-07-16T03:45:57.948Z","dependency_job_id":null,"html_url":"https://github.com/harshgeek4coder/Handling_Textual_Data_Augmentations_NLP_MLSA","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harshgeek4coder%2FHandling_Textual_Data_Augmentations_NLP_MLSA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harshgeek4coder%2FHandling_Textual_Data_Augmentations_NLP_MLSA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harshgeek4coder%2FHandling_Textual_Data_Augmentations_NLP_MLSA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harshgeek4coder%2FHandling_Textual_Data_Augmentations_NLP_MLSA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/harshgeek4coder","download_url":"https://codeload.github.com/harshgeek4coder/Handling_Textual_Data_Augmentations_NLP_MLSA/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246254100,"owners_count":20747948,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-03T11:59:42.743Z","updated_at":"2025-03-29T22:40:52.432Z","avatar_url":"https://github.com/harshgeek4coder.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Handling_Textual_Data_Augmentations_NLP_MLSA\nThis Repository Contains resources for the event organized in Microsoft Learn Student Ambassadors Event\n\n### Event Details : \nThis Workshop would help you explore about performing textual augmentations for NLP.\nThe workshop was led by Microsoft Learn Student Ambassador, Harsh Sharma(Alpha Student Ambassador). During this one-hour workshop, you will learn about textual data augmentation, including how to perform data augmentation for NLP, current trends, state-of-the-art architectures, and packages that one could use to generate augmented data. There will be a hands-on session with Q\u0026A.\n\n- Event Organizer : Harsh Sharma - Microsoft Learn Student Ambassador(Alpha Level)\n- Event Date : 22nd September 2021, Wednesday\n- Time : 5:30 PM - 6:30 PM IST ( IST - India Standard Time )\n- Platform : Teams Live Event\n\nMicrosoft Technologies used and showcased :\n- VScode\n- Github\n- Teams\n\n## Event Recording Link :  [Link](https://1drv.ms/v/s!AqGrLGWg8_-jsDtCMj8TAounInyf?e=0iEVyo)\n\n### Demo of NLPAug Package for Handling Textual Augmentations in NLP:\n\nTo run the streamlit application:\n```\n1. Clone this repository\n2. In the root directory, run this command in CLI : streamlit run main.py\n```\n\n\n# Acknowledgements\nI would highly encourage to check out the following resources/packages mentioned below, which was referred for this specific event :\n\n*  BackTranslation - https://pypi.org/project/BackTranslation/\n*  Easy Data Augmentation (EDA) - \n   1. https://github.com/jasonwei20/eda_nlp\n   2. https://arxiv.org/abs/1901.11196\n*  Albumenations - \n   1. https://github.com/albumentations-team/albumentations \n   2. https://albumentations.ai/docs/\n\n*  NLPAug - \nhttps://github.com/makcedward/nlpaug\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fharshgeek4coder%2Fhandling_textual_data_augmentations_nlp_mlsa","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fharshgeek4coder%2Fhandling_textual_data_augmentations_nlp_mlsa","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fharshgeek4coder%2Fhandling_textual_data_augmentations_nlp_mlsa/lists"}