{"id":25740215,"url":"https://github.com/jcaip/quickthoughts","last_synced_at":"2025-06-13T18:07:11.593Z","repository":{"id":37605440,"uuid":"182842471","full_name":"jcaip/quickthoughts","owner":"jcaip","description":"pytorch reimplementation of qt paper","archived":false,"fork":false,"pushed_at":"2022-12-08T05:06:36.000Z","size":321,"stargazers_count":9,"open_issues_count":32,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-05-08T21:15:12.611Z","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/jcaip.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":"2019-04-22T18:14:51.000Z","updated_at":"2021-09-25T14:40:41.000Z","dependencies_parsed_at":"2023-01-24T22:30:10.584Z","dependency_job_id":null,"html_url":"https://github.com/jcaip/quickthoughts","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/jcaip%2Fquickthoughts","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jcaip%2Fquickthoughts/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jcaip%2Fquickthoughts/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jcaip%2Fquickthoughts/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jcaip","download_url":"https://codeload.github.com/jcaip/quickthoughts/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253149619,"owners_count":21861740,"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":"2025-02-26T08:39:01.883Z","updated_at":"2025-05-08T21:15:15.373Z","avatar_url":"https://github.com/jcaip.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# QuickThought\npytorch reimplementation of quickthoughts paper: https://arxiv.org/pdf/1803.02893.pdf\n\nThis is a very rough implementation atm, so feel free to reach out if you're having trouble running the code.\n\nThere's also a lot of code for some experiments I ran [here](https://jcaip.github.io/Quickthoughts/) in this repo.\n\n### Setup\n\nFirst you'll need to pull down the bookcorpus submodule and follow the instructions there to get `all.txt`.\nNext move `all.txt` to the root folder and then run `make data`, which will process the data into `cleaned.txt`.\n\nNext grab the pretrained word vectors by running `make pull-vec`.\n\nYou'll be able to train with `make train`.\n\nThe model will pull from a config file, which can be edited to tune parameters.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjcaip%2Fquickthoughts","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjcaip%2Fquickthoughts","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjcaip%2Fquickthoughts/lists"}