{"id":19749907,"url":"https://github.com/nwhovian/drcn-digits-classification","last_synced_at":"2026-06-15T07:34:45.159Z","repository":{"id":100857385,"uuid":"257723057","full_name":"nWhovian/drcn-digits-classification","owner":"nWhovian","description":"Domain Adaptation for digits classification using Deep Reconstruction-Classification Network","archived":false,"fork":false,"pushed_at":"2020-04-21T22:04:31.000Z","size":9,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-28T08:30:15.235Z","etag":null,"topics":["digits-classification","domain-adaptation","drcn","mnist-dataset","svhn-dataset"],"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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/nWhovian.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2020-04-21T21:44:40.000Z","updated_at":"2020-04-22T14:36:48.000Z","dependencies_parsed_at":"2023-06-02T04:30:37.370Z","dependency_job_id":null,"html_url":"https://github.com/nWhovian/drcn-digits-classification","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/nWhovian/drcn-digits-classification","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nWhovian%2Fdrcn-digits-classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nWhovian%2Fdrcn-digits-classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nWhovian%2Fdrcn-digits-classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nWhovian%2Fdrcn-digits-classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nWhovian","download_url":"https://codeload.github.com/nWhovian/drcn-digits-classification/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nWhovian%2Fdrcn-digits-classification/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34353193,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-15T02:00:07.085Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["digits-classification","domain-adaptation","drcn","mnist-dataset","svhn-dataset"],"created_at":"2024-11-12T02:29:19.234Z","updated_at":"2026-06-15T07:34:45.142Z","avatar_url":"https://github.com/nWhovian.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Domain Adaptation for Digits Classification\n#### train on SVHN dataset, test on MNIST\nFor the domain adaptation I use the **Deep Reconstruction-Classification Network (DRCN)**.\n![](https://imgur.com/5Ggxr8D.png)\n\nThe model is based on a convolutional architecture that has two pipelines with a shared encoding representation. First pipeline is a convolutional network for label prediction based on the source data, second pipeline is a convolutional autoencoder for target data reconstruction. Including the reconstruction of target data among with a standard label classifier helps to implement the domain adaptation.\nThe model is based on a [paper](https://arxiv.org/pdf/1607.03516.pdf) and a [code](https://github.com/fungtion/DRCN).\n\n## Results\n![](https://imgur.com/fsKTJcR.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnwhovian%2Fdrcn-digits-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnwhovian%2Fdrcn-digits-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnwhovian%2Fdrcn-digits-classification/lists"}