{"id":15195520,"url":"https://github.com/kbdharun/dl-lab","last_synced_at":"2025-05-05T01:31:33.517Z","repository":{"id":255297306,"uuid":"829999822","full_name":"kbdharun/DL-Lab","owner":"kbdharun","description":"This repository contains the programs that I worked out in the Deep Learning Essentials Laboratory.","archived":true,"fork":false,"pushed_at":"2024-10-14T03:45:00.000Z","size":11035,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-26T21:13:50.705Z","etag":null,"topics":["college","deep-learning","dl","ipynb","jupyter-notebook","machine-learning","ml","python","sastra","university"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"unlicense","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kbdharun.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","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},"funding":{"github":"kbdharun"}},"created_at":"2024-07-17T12:13:25.000Z","updated_at":"2024-11-09T08:30:12.000Z","dependencies_parsed_at":"2024-10-11T15:40:52.467Z","dependency_job_id":"24b5f2e1-2de5-4f0b-8b44-e1fad4fe3224","html_url":"https://github.com/kbdharun/DL-Lab","commit_stats":{"total_commits":9,"total_committers":1,"mean_commits":9.0,"dds":0.0,"last_synced_commit":"92a6654aaf00bc375f46841fe7e043d4aca031e3"},"previous_names":["kbdharun/dl-lab"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kbdharun%2FDL-Lab","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kbdharun%2FDL-Lab/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kbdharun%2FDL-Lab/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kbdharun%2FDL-Lab/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kbdharun","download_url":"https://codeload.github.com/kbdharun/DL-Lab/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252423181,"owners_count":21745556,"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":["college","deep-learning","dl","ipynb","jupyter-notebook","machine-learning","ml","python","sastra","university"],"created_at":"2024-09-27T23:40:28.274Z","updated_at":"2025-05-05T01:31:28.505Z","avatar_url":"https://github.com/kbdharun.png","language":"Jupyter Notebook","funding_links":["https://github.com/sponsors/kbdharun"],"categories":[],"sub_categories":[],"readme":"# Deep Learning Lab Programs\n\n[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/kbdharun/DL-Lab)\n\nThis repository contains the programs that I worked out in Deep Learning Essentials Laboratory.\n\n## Prerequisites\n\nPython and packages in `requirements.txt` file installed.\n\n\u003e [!NOTE]\n\u003e You can install all the required packages using the command `pip install -r requirements.txt`.\n\n### Working with Conda\n\nIf you are using `conda` to manage your environments, you can create a new environment for this repository with the command `conda create -n ml-lab` and activate it with the command `conda activate ml-lab`.\n\n\u003e [!TIP]\n\u003e For faster environment solving in Conda, I would suggesting using the `libmamba` solver. You can set it as the default solver using the command `conda config --set solver libmamba`.\n\nThen, you can install all the required packages using the command `conda install --file requirements.txt`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkbdharun%2Fdl-lab","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkbdharun%2Fdl-lab","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkbdharun%2Fdl-lab/lists"}