{"id":28919473,"url":"https://github.com/koushik-elite/face-generation","last_synced_at":"2025-10-08T03:40:06.747Z","repository":{"id":106770107,"uuid":"172953875","full_name":"koushik-elite/Face-Generation","owner":"koushik-elite","description":"Face Generation - Udacity project for deep learning Nanodegree","archived":false,"fork":false,"pushed_at":"2019-03-04T02:26:57.000Z","size":885,"stargazers_count":2,"open_issues_count":0,"forks_count":7,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-05T23:33:03.389Z","etag":null,"topics":["cnn","convolutional-neural-networks","dcgan","gan","generative-adversarial-network","jupyter-notebook","nanodegree","neural-network","numpy","python","pytorch"],"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/koushik-elite.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,"zenodo":null}},"created_at":"2019-02-27T16:50:51.000Z","updated_at":"2020-01-30T15:14:34.000Z","dependencies_parsed_at":null,"dependency_job_id":"efdd5b24-3e5c-43b1-a1fa-55241eee0c06","html_url":"https://github.com/koushik-elite/Face-Generation","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/koushik-elite/Face-Generation","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/koushik-elite%2FFace-Generation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/koushik-elite%2FFace-Generation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/koushik-elite%2FFace-Generation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/koushik-elite%2FFace-Generation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/koushik-elite","download_url":"https://codeload.github.com/koushik-elite/Face-Generation/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/koushik-elite%2FFace-Generation/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261232750,"owners_count":23128166,"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":["cnn","convolutional-neural-networks","dcgan","gan","generative-adversarial-network","jupyter-notebook","nanodegree","neural-network","numpy","python","pytorch"],"created_at":"2025-06-22T03:36:08.952Z","updated_at":"2025-10-08T03:40:01.721Z","avatar_url":"https://github.com/koushik-elite.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Face Generation\n\nIn this project, you'll define and train a DCGAN on a dataset of faces. Your goal is to get a generator network to generate new images of faces that look as realistic as possible!\n\nThe project will be broken down into a series of tasks from loading in data to defining and training adversarial networks. At the end of the notebook, you'll be able to visualize the results of your trained Generator to see how it performs; your generated samples should look like fairly realistic faces with small amounts of noise.\n\nFinal Project [Notebook](/dlnd_face_generation.ipynb)\n\n\n## 1. Installation\n\nDownload Anaconda\n\n|        | Linux | Mac | Windows | \n|--------|-------|-----|---------|\n| 64-bit | [64-bit (bash installer)][lin64] | [64-bit (bash installer)][mac64] | [64-bit (exe installer)][win64]\n| 32-bit | [32-bit (bash installer)][lin32] |  | [32-bit (exe installer)][win32]\n\n[win64]: https://repo.anaconda.com/archive/Anaconda3-2018.12-Windows-x86_64.exe\n[win32]: https://repo.anaconda.com/archive/Anaconda3-2018.12-Windows-x86.exe\n[mac64]: https://repo.anaconda.com/archive/Anaconda3-2018.12-MacOSX-x86_64.sh\n[lin64]: https://repo.anaconda.com/archive/Anaconda3-2018.12-Linux-x86_64.sh\n[lin32]: https://repo.anaconda.com/archive/Anaconda3-2018.12-Linux-x86.sh\n\n**Install** [Anaconda](https://docs.anaconda.com/anaconda/install/) on your machine. Detailed instructions:\n\n## 2. Create and Activate the Environment\n\nPlease go though this [doc](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html) before you creating an environment.\nAfter that create a environment using following command\n\n```\nconda create --name deep-learning\n```\n\nThen activate the environment using following command\n\n```\nactivate deep-learning\n```\n\n#### Git and version control\nThese instructions also assume you have `git` installed for working with Github from a terminal window, but if you do not, you can download that first with the command:\n```\nconda install git\n```\n\n**Now, you can create a local version of the project**\n\n1. Clone the repository, and navigate to the downloaded folder. This may take a minute or two to clone due to the included image data.\n```\ngit clone https://github.com/koushik-elite/Face-Generation.git\ncd TV-Script-Generation\n```\n\n2. Install PyTorch and torchvision; this should install the latest version of PyTorch.\n\t\n\t- __Linux__ or __Mac__: \n\t```\n\tconda install pytorch torchvision -c pytorch \n\t```\n\t- __Windows__: \n\t```\n\tconda install pytorch -c pytorch\n\tpip install torchvision\n\t```\n\n3. Install a few required pip packages, which are specified in the requirements text file (including OpenCV).\n```\npip install -r requirements.txt\n```\n\n4. That's it!, Now run the project using following command, check you default browser and open dlnd_face_generation.ipynb file\n\n```\njupyter notebook\n```\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkoushik-elite%2Fface-generation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkoushik-elite%2Fface-generation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkoushik-elite%2Fface-generation/lists"}