{"id":21383616,"url":"https://github.com/dinataklit/ann_predict_loop_unrolling_factor","last_synced_at":"2025-04-15T19:08:18.371Z","repository":{"id":121002333,"uuid":"246421082","full_name":"DinaTaklit/ANN_Predict_Loop_Unrolling_Factor","owner":"DinaTaklit","description":"Deep neural network model based to predict optimal loop unrolling factors to optimize loops in tiramisu compiler.","archived":false,"fork":false,"pushed_at":"2020-03-10T22:28:14.000Z","size":352,"stargazers_count":6,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-15T19:07:41.042Z","etag":null,"topics":["deep-neural-networks","keras","loops","neural-network","optimization","tiramisu"],"latest_commit_sha":null,"homepage":"https://github.com/DinaTaklit/ANN_Predict_Loop_Unrolling_Factor/blob/master/pfe_keras.ipynb","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/DinaTaklit.png","metadata":{"files":{"readme":null,"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}},"created_at":"2020-03-10T22:26:38.000Z","updated_at":"2024-04-23T11:21:56.000Z","dependencies_parsed_at":null,"dependency_job_id":"efe2c6ac-ddcc-4471-bffb-ffaddd1f480b","html_url":"https://github.com/DinaTaklit/ANN_Predict_Loop_Unrolling_Factor","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DinaTaklit%2FANN_Predict_Loop_Unrolling_Factor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DinaTaklit%2FANN_Predict_Loop_Unrolling_Factor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DinaTaklit%2FANN_Predict_Loop_Unrolling_Factor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DinaTaklit%2FANN_Predict_Loop_Unrolling_Factor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DinaTaklit","download_url":"https://codeload.github.com/DinaTaklit/ANN_Predict_Loop_Unrolling_Factor/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249135809,"owners_count":21218365,"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":["deep-neural-networks","keras","loops","neural-network","optimization","tiramisu"],"created_at":"2024-11-22T11:30:21.516Z","updated_at":"2025-04-15T19:08:18.365Z","avatar_url":"https://github.com/DinaTaklit.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":null,"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdinataklit%2Fann_predict_loop_unrolling_factor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdinataklit%2Fann_predict_loop_unrolling_factor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdinataklit%2Fann_predict_loop_unrolling_factor/lists"}