{"id":19243197,"url":"https://github.com/acecoooool/gluon-tutorial","last_synced_at":"2025-09-14T03:07:06.049Z","repository":{"id":201607372,"uuid":"108068354","full_name":"AceCoooool/gluon-tutorial","owner":"AceCoooool","description":"This is a gluon version of yunjey's pytorch-tutorial","archived":false,"fork":false,"pushed_at":"2018-12-22T13:56:31.000Z","size":7084,"stargazers_count":5,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-01T12:04:06.923Z","etag":null,"topics":["gluon","mxnet"],"latest_commit_sha":null,"homepage":"","language":"Python","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/AceCoooool.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}},"created_at":"2017-10-24T02:43:52.000Z","updated_at":"2023-11-20T08:12:51.000Z","dependencies_parsed_at":null,"dependency_job_id":"5948118c-c273-40e2-b22c-70fab05db467","html_url":"https://github.com/AceCoooool/gluon-tutorial","commit_stats":null,"previous_names":["acecoooool/gluon-tutorial"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AceCoooool%2Fgluon-tutorial","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AceCoooool%2Fgluon-tutorial/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AceCoooool%2Fgluon-tutorial/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AceCoooool%2Fgluon-tutorial/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AceCoooool","download_url":"https://codeload.github.com/AceCoooool/gluon-tutorial/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250032233,"owners_count":21363799,"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":["gluon","mxnet"],"created_at":"2024-11-09T17:16:57.674Z","updated_at":"2025-04-21T09:32:46.929Z","avatar_url":"https://github.com/AceCoooool.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\u003cimg width=\"40%\" src=\"logo/gluon_logo.png\" /\u003e\u003c/p\u003e\n\n--------------------------------------------------------------------------------\n\nThis repository is a **gluon/mxnet** version of [yunjey's pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial). \n\nThere is an office and perfect tutorial by mxnet' team: [Deep Learning - The Straight Dope](http://gluon.mxnet.io/)\n\n## Table of Contents\n\n#### 1. Basics\n\n- [Gluon Basis](./example/1-basics/1_basic.py)\n- [Linear Regression](./example/1-basics/2_linear.py)\n- [Logistic Regression](./example/1-basics/3_logistic.py)\n- [Feedforward Neural Network](./example/1-basics/4_network.py)\n\n#### 2. Intermediate\n\n- [Convolutional Neural Network](./example/2-intermediate/1_cnn.py)\n- [Deep Residual Network](./example/2-intermediate/2_resnet.py)\n- [Recurrent Neural Network](./example/2-intermediate/3_rnn.py)\n- [Bidirectional Recurrent Neural Network](./example/2-intermediate/4_birnn.py)\n- [Language Model (RNN-LM)](./example/2-intermediate/5_language.py)\n- [Generative Adversarial Network](./example/2-intermediate/6_gan.py)\n\n#### 3. Advanced\n\n- [Neural Style Transfer](./example/3-advanced/1_style_transfer.py)\n- [Variational Auto-Encoder](./example/3-advanced/2_vae.py)\n\n## Note\n\n1. You can run it through: `python xxxx.py`\n2. The **Intermediate** and **Advanced** can switch from `cpu` or `gpu` by change the `gpu=True`，Some examples also provide `symbol=True` for switch the `imperative` or `symbolic`（but some examples I don not know how to do it）\n3. It's my first time to use gluon/mxnet , so there must be some \"bad behavior\" in the achievement.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facecoooool%2Fgluon-tutorial","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Facecoooool%2Fgluon-tutorial","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facecoooool%2Fgluon-tutorial/lists"}