{"id":28355306,"url":"https://github.com/dsksd/pytorch_models","last_synced_at":"2026-03-09T10:02:32.193Z","repository":{"id":295902452,"uuid":"85374565","full_name":"DSKSD/Pytorch_models","owner":"DSKSD","description":"PyTorch study","archived":false,"fork":false,"pushed_at":"2017-10-16T11:09:05.000Z","size":36128,"stargazers_count":14,"open_issues_count":0,"forks_count":4,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-06-20T10:39:51.004Z","etag":null,"topics":["deep-learning","generative-adversarial-network","nlp","pytorch","vae"],"latest_commit_sha":null,"homepage":null,"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/DSKSD.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2017-03-18T04:03:22.000Z","updated_at":"2020-05-11T16:25:23.000Z","dependencies_parsed_at":"2025-06-02T22:47:25.576Z","dependency_job_id":null,"html_url":"https://github.com/DSKSD/Pytorch_models","commit_stats":null,"previous_names":["dsksd/pytorch_models"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/DSKSD/Pytorch_models","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DSKSD%2FPytorch_models","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DSKSD%2FPytorch_models/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DSKSD%2FPytorch_models/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DSKSD%2FPytorch_models/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DSKSD","download_url":"https://codeload.github.com/DSKSD/Pytorch_models/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DSKSD%2FPytorch_models/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30290926,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-09T02:57:19.223Z","status":"ssl_error","status_checked_at":"2026-03-09T02:56:26.373Z","response_time":61,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["deep-learning","generative-adversarial-network","nlp","pytorch","vae"],"created_at":"2025-05-28T04:09:13.898Z","updated_at":"2026-03-09T10:02:32.188Z","avatar_url":"https://github.com/DSKSD.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Pytorch Study\n\n파이토치 스터디 \n\n관심있는 모든 것(NLP, Generative Model, RL,...)을 더욱 잘 이해하기 위해 코드로 구현해보기\n클래식한 모델부터 논문, 튜토리얼, 강의, 블로그를 읽고 이해한 것을 바탕으로 \n구현해보기 +_+ \n\n언젠가 직접 모델링하는 그 날까지...\n\n\n## 파이썬 3.5 Pytorch 환경 구축해둔 도커\n\nubuntu 16.04 python 3.5.2 with various of ML/DL packages including tensorflow, sklearn, \u003cstrong\u003epytorch\u003c/strong\u003e\n\n`docker pull dsksd/deepstudy:0.2`\n\n\n## 1. Deep NLP Models\n\n1. \u003ca href=\"https://github.com/DSKSD/PT_dsksd/blob/master/deepnlp/01_DL_for_NLP_BoWClassifier.ipynb\"\u003eBoWClassifier\u003c/a\u003e\n2. \u003ca href=\"https://github.com/DSKSD/PT_dsksd/blob/master/deepnlp/02_DL_FOR_NLP_NGRAM.ipynb\"\u003eNGRAM \u0026 CBOW\u003c/a\u003e\n3. \u003ca href=\"https://github.com/DSKSD/PT_dsksd/blob/master/deepnlp/03_DL_FOR_NLP_LSTM.ipynb\"\u003eLSTM POS Tagger\u003c/a\u003e\n4. \u003ca href=\"https://github.com/DSKSD/PT_dsksd/blob/master/deepnlp/04_DL_FOR_NLP_BILSTMCRF.ipynb\"\u003eBidirectional LSTM POS Tagger\u003c/a\u003e\n5. \u003ca href=\"https://github.com/DSKSD/PT_dsksd/blob/master/deepnlp/05_LSTM_Batch.ipynb\"\u003eLSTM batch learning\u003c/a\u003e\n6. \u003ca href=\"https://github.com/DSKSD/PT_dsksd/blob/master/deepnlp/06_Seq2Seq_vanilla.ipynb\"\u003eVanilla Sequence2Sequence (Encoder-Decoder)\u003c/a\u003e\n7. \u003ca href=\"https://github.com/DSKSD/PT_dsksd/blob/master/deepnlp/07_Seq2Seq_Attention.ipynb\"\u003eSequence2Sequence with Attention\u003c/a\u003e\n8. \u003ca href=\"https://github.com/DSKSD/PT_dsksd/blob/master/deepnlp/08_Relational_Network_for_bAbI(Not yet).ipynb\"\u003eRelational Network for bAbI task(in progress)\u003c/a\u003e\n9. \u003ca href=\"https://github.com/DSKSD/PT_dsksd/blob/master/deepnlp/09_Transformer.ipynb\"\u003eTransformer(Attention is all you need)\u003c/a\u003e\n\n### 읽고 구현해보고 싶은 논문 리스트\n\n1. \u003ca href=\"https://arxiv.org/abs/1705.08039\"\u003ePoincaré Embeddings for Learning Hierarchical Representations\u003c/a\u003e\n2. \u003ca href=\"https://arxiv.org/abs/1705.10359\"\u003eNeural Embeddings of Graphs in Hyperbolic Space\u003c/a\u003e\n3. \u003ca href=\"https://arxiv.org/abs/1705.04304\"\u003eA Deep Reinforced Model for Abstractive Summarization\u003c/a\u003e\n4. \u003ca href=\"https://arxiv.org/abs/1703.00955\"\u003eControllable Text Generation\u003c/a\u003e\n5. \u003ca href=\"https://arxiv.org/abs/1706.01427\"\u003eA simple neural network module for relational reasoning\u003c/a\u003e\n\n## 2. Generative Models\n\n1. \u003ca href=\"https://github.com/DSKSD/PT_dsksd/blob/master/generative_model/01.Simple_Autoencoder.ipynb\"\u003eBasic Auto-Encoder\u003c/a\u003e\n2. \u003ca href=\"https://github.com/DSKSD/PT_dsksd/blob/master/generative_model/02.Regularized_Autoencoders.ipynb\"\u003eRegularized Auto-Encoder\u003c/a\u003e\n3. \u003ca href=\"https://github.com/DSKSD/PT_dsksd/blob/master/generative_model/03.Variational_Autoencoder.ipynb\"\u003eVariational Auto-Encoder\u003c/a\u003e\n3-1. \u003ca href=\"https://github.com/DSKSD/PT_dsksd/blob/master/generative_model/03_1_Appendix_Entropy%26KL-Divergence.ipynb\"\u003eAppendix1: Entropy and KL-divergence\u003c/a\u003e\n4. \u003ca href=\"https://github.com/DSKSD/PT_dsksd/blob/master/generative_model/04.Variational_Recurrent_Autoencoder.ipynb\"\u003eVariational Reccurent Auto-Encoder\u003c/a\u003e\n\n## 3. Reinforcement Learning\n\n## 4. Evolutionary Algorithms","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdsksd%2Fpytorch_models","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdsksd%2Fpytorch_models","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdsksd%2Fpytorch_models/lists"}