{"id":20826825,"url":"https://github.com/arkaung/dl_acy_workshop","last_synced_at":"2025-04-10T02:53:19.616Z","repository":{"id":70135023,"uuid":"275423645","full_name":"ArkAung/dl_acy_workshop","owner":"ArkAung","description":"Repo for ACY Workshop - Deep Learning for Absolute Beginners","archived":false,"fork":false,"pushed_at":"2021-07-24T02:42:40.000Z","size":6658,"stargazers_count":4,"open_issues_count":1,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-24T04:22:59.227Z","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/ArkAung.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":"2020-06-27T17:43:03.000Z","updated_at":"2023-10-11T05:49:32.000Z","dependencies_parsed_at":"2023-02-21T14:46:12.575Z","dependency_job_id":null,"html_url":"https://github.com/ArkAung/dl_acy_workshop","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/ArkAung%2Fdl_acy_workshop","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArkAung%2Fdl_acy_workshop/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArkAung%2Fdl_acy_workshop/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArkAung%2Fdl_acy_workshop/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ArkAung","download_url":"https://codeload.github.com/ArkAung/dl_acy_workshop/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248147276,"owners_count":21055516,"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":"2024-11-17T23:10:11.533Z","updated_at":"2025-04-10T02:53:19.598Z","avatar_url":"https://github.com/ArkAung.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## American Center Yangon - Deep Learning for Absolute Begineers \nby Arkar Min Aung\n\n## For those who are doing workshop\n\nWorkshop exercise #1: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ArkAung/dl_acy_workshop/blob/master/ACY_Workshop%20(Digits).ipynb)\n\nWorkshop exercise #2: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ArkAung/dl_acy_workshop/blob/master/ACY_Workshop%20(Alphabets).ipynb) \n\n## For those who want to test this\n\nThis repo contains a minimal Flask webserver will serve you a minimal web app which recognizes Myanmar handwritten\ndigits and alphabets based on your drawings. Additionally, publicly accessible URL for the webserver is created using Ngrok.\n\nThe accompanying Jupyter Notebook is meant to be opened in Google CoLab. It contains procedures to:\n- Download required libraries\n- Augment data\n- Build and train neural network\n- Run the webserver with Ngrok\n\n### Preparation\n* Create a conda environment: `conda create -n flask_server python=3.7`\n* Activate environment: `conda activate flask_server`\n* Install requirements: `pip install -r requirements.txt`\n* Download weights file: [alphabets](https://drive.google.com/file/d/1hcb7OFhQ5CKVv3M_Ll1xup6KTKI72uvb/view?usp=sharing) | [digits](https://drive.google.com/file/d/1wiB2JSNZHUQn_9dhITtuTSYayAk20Wts/view?usp=sharing)\n    * **Note:** The neural networks are trained minimally with very small training dataset. Their performance will be be subpar. \n### How to Run\n* `python webserver.py --type [alphabets|digits] --weights /path/of/downloaded/weight/file.pkl`\n* Navigate either to `localhost:5000` or public URL printed in console.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farkaung%2Fdl_acy_workshop","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farkaung%2Fdl_acy_workshop","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farkaung%2Fdl_acy_workshop/lists"}