{"id":17312960,"url":"https://github.com/andreacossu/continuallearning-sequentialprocessing","last_synced_at":"2025-04-14T14:33:55.518Z","repository":{"id":43959782,"uuid":"235755861","full_name":"AndreaCossu/ContinualLearning-SequentialProcessing","owner":"AndreaCossu","description":"Continual Learning with Gated Incremental Memories for Sequential Data Processing. IJCNN 2020. Continual Learning with Recurrent Neural Networks (RNNs) inspired by Progressive network architecture.","archived":false,"fork":false,"pushed_at":"2021-10-13T07:35:56.000Z","size":198,"stargazers_count":15,"open_issues_count":0,"forks_count":4,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-28T03:32:35.521Z","etag":null,"topics":["audioset","continual-learning","machine-learning","pytorch","recurrent-neural-networks","rnn"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AndreaCossu.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}},"created_at":"2020-01-23T08:47:30.000Z","updated_at":"2024-10-31T12:16:53.000Z","dependencies_parsed_at":"2022-07-13T18:21:35.454Z","dependency_job_id":null,"html_url":"https://github.com/AndreaCossu/ContinualLearning-SequentialProcessing","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/AndreaCossu%2FContinualLearning-SequentialProcessing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AndreaCossu%2FContinualLearning-SequentialProcessing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AndreaCossu%2FContinualLearning-SequentialProcessing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AndreaCossu%2FContinualLearning-SequentialProcessing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AndreaCossu","download_url":"https://codeload.github.com/AndreaCossu/ContinualLearning-SequentialProcessing/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248897673,"owners_count":21179626,"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":["audioset","continual-learning","machine-learning","pytorch","recurrent-neural-networks","rnn"],"created_at":"2024-10-15T12:45:12.586Z","updated_at":"2025-04-14T14:33:55.450Z","avatar_url":"https://github.com/AndreaCossu.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ContinualLearning with Gated Incremental Memories for sequential data processing\n[Paper](https://arxiv.org/abs/2004.04077) accepted at IJCNN 2020.\n\n## MNIST task\nRun the script `mnist.py` with your hyperparameters of choice.\n\n## Audioset task\nDownload `bal.h5`, `eval.h5` and `unbal_train.h5` from [here](https://drive.google.com/drive/folders/1IlsVeAD9iAhK1Keu958RR8hXd2rcRnq5?usp=sharing) and put them in `tasks/audioset/data/`.  \nThen, run `audioset_task.py` with your hyperparameters of choice.\n\n## Devanagari task\nDownload Devanagari dataset from [here](https://drive.google.com/file/d/1dcP0m02bRyKGebZxwq_jMifuTZsXk5RJ/view?usp=sharing) and put `Train` and `Test` folder inside `tasks/mnist/data/Devanagari_CL/`.  \nThen, run `mnist.py --devanagari` with your hyperparameters of choice.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandreacossu%2Fcontinuallearning-sequentialprocessing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fandreacossu%2Fcontinuallearning-sequentialprocessing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandreacossu%2Fcontinuallearning-sequentialprocessing/lists"}