{"id":24901449,"url":"https://github.com/naetherm/karpathy_tensorflow","last_synced_at":"2025-09-05T22:36:25.859Z","repository":{"id":114626413,"uuid":"94967878","full_name":"naetherm/karpathy_tensorflow","owner":"naetherm","description":null,"archived":false,"fork":false,"pushed_at":"2017-06-29T10:56:16.000Z","size":5027,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-27T18:19:00.771Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/naetherm.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2017-06-21T05:53:56.000Z","updated_at":"2017-06-21T06:15:00.000Z","dependencies_parsed_at":null,"dependency_job_id":"3393a8fe-adc3-47ce-baf0-89f7ce31472a","html_url":"https://github.com/naetherm/karpathy_tensorflow","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/naetherm/karpathy_tensorflow","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/naetherm%2Fkarpathy_tensorflow","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/naetherm%2Fkarpathy_tensorflow/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/naetherm%2Fkarpathy_tensorflow/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/naetherm%2Fkarpathy_tensorflow/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/naetherm","download_url":"https://codeload.github.com/naetherm/karpathy_tensorflow/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/naetherm%2Fkarpathy_tensorflow/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":273832565,"owners_count":25176262,"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","status":"online","status_checked_at":"2025-09-05T02:00:09.113Z","response_time":402,"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":[],"created_at":"2025-02-01T21:16:12.580Z","updated_at":"2025-09-05T22:36:25.836Z","avatar_url":"https://github.com/naetherm.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# karpathy_tensorflow\nSimple implementation of the kaparthy code (http://karpathy.github.io/2015/05/21/rnn-effectiveness/) in Tensorflow.\n\nThis implementation was mainly done for learning purposes and further deepening my understanding of recurrent neura networks with tensorflow.\n\n\n## Installing Tensorflow\n\nFor installing Tensorflow just follow the instruction of the official homepage [1]. For this implementation the latest release of Tensorflow was used (version 1.2.0).\n\n\n\n[1] https://www.tensorflow.org/install/\n\n## Usage\n\nStart training:\n\n```bash\npython train.py --datapath=shakespeare/\n```\n\nThe default model to use is ```bash rnn``` but can be changed by the command line parameters.\n\n```bash\npython train.py --data_path=shakespeare/ --model=lstm\n```\n\nAvailable models are: ```bash rnn, lstm, gru and nas```.\n\nAfter training a model you can run a sample on it:\n\n```bash\npython sample.py --data_path=shakespeare/\n```\n\nThe length of the sample that should be created can be changed by the parameter ```bash --n```:\n\n```bash\npython sample.py --data_path=shakespeare/ --n=1000\n```\n\n## Further samples\n\nThe wikipedia ```train.txt``` can be obtained [here](https://mega.nz/#!Qa4z0DiL!BBNviuoNUN-awop3inFs_MyilijwLSy6O36-feGUMr8), and the linux ```train.txt``` can be obtained [here](https://mega.nz/#!9S5xhaIY!4_grlN6D3yPJYBCfiT_uR0N-tXkFlmHXWuafyL7KwaQ).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnaetherm%2Fkarpathy_tensorflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnaetherm%2Fkarpathy_tensorflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnaetherm%2Fkarpathy_tensorflow/lists"}