{"id":13738335,"url":"https://github.com/ypxie/pytorch-NeuCom","last_synced_at":"2025-05-08T16:33:18.691Z","repository":{"id":41092698,"uuid":"81782910","full_name":"ypxie/pytorch-NeuCom","owner":"ypxie","description":"Pytorch implementation of DeepMind's differentiable neural  computer paper.","archived":false,"fork":false,"pushed_at":"2017-12-04T23:24:31.000Z","size":198,"stargazers_count":94,"open_issues_count":3,"forks_count":15,"subscribers_count":8,"default_branch":"master","last_synced_at":"2024-12-10T16:44:19.403Z","etag":null,"topics":[],"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/ypxie.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}},"created_at":"2017-02-13T03:55:45.000Z","updated_at":"2024-08-03T06:57:05.000Z","dependencies_parsed_at":"2022-07-30T21:08:06.452Z","dependency_job_id":null,"html_url":"https://github.com/ypxie/pytorch-NeuCom","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/ypxie%2Fpytorch-NeuCom","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ypxie%2Fpytorch-NeuCom/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ypxie%2Fpytorch-NeuCom/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ypxie%2Fpytorch-NeuCom/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ypxie","download_url":"https://codeload.github.com/ypxie/pytorch-NeuCom/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253105448,"owners_count":21855033,"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":[],"created_at":"2024-08-03T03:02:18.997Z","updated_at":"2025-05-08T16:33:18.389Z","avatar_url":"https://github.com/ypxie.png","language":"Python","funding_links":[],"categories":["Python","Paper implementations｜论文实现","Paper implementations"],"sub_categories":["Other libraries｜其他库:","Other libraries:"],"readme":"# DNC pytorch\n\nThis is a Pytorch implementation of DeepMind's Differentiable Neural Computer (DNC) architecture introduced in their recent Nature paper:\n\u003e [Graves, Alex, et al. \"Hybrid computing using a neural network with dynamic external memory.\" Nature 538.7626 (2016): 471-476.](http://www.nature.com/articles/nature20101.epdf?author_access_token=ImTXBI8aWbYxYQ51Plys8NRgN0jAjWel9jnR3ZoTv0MggmpDmwljGswxVdeocYSurJ3hxupzWuRNeGvvXnoO8o4jTJcnAyhGuZzXJ1GEaD-Z7E6X_a9R-xqJ9TfJWBqz)\n\n\n## Local Environment Specification\npytorch\n\nAnaconda 2.7\n\n\n## How To Run\nGo to folder tasks/Copy\n\n`python train.py`\n\n## Dynamic Memory Mechanisms\n\n![DNC-Memory-Mechanisms](/figures/dnc_digram.png)\n\n## Acknowlegement\nMostafa-Samir's [tensorflow implementation](https://github.com/Mostafa-Samir/DNC-tensorflow)\n\n\n## License\nMIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fypxie%2Fpytorch-NeuCom","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fypxie%2Fpytorch-NeuCom","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fypxie%2Fpytorch-NeuCom/lists"}