{"id":15032285,"url":"https://github.com/delip/pytorchnlpbook","last_synced_at":"2025-05-15T09:07:48.420Z","repository":{"id":39615368,"uuid":"167279881","full_name":"delip/PyTorchNLPBook","owner":"delip","description":"Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L","archived":false,"fork":false,"pushed_at":"2023-03-12T18:45:11.000Z","size":8106,"stargazers_count":2029,"open_issues_count":26,"forks_count":814,"subscribers_count":53,"default_branch":"master","last_synced_at":"2025-05-15T09:07:38.248Z","etag":null,"topics":["deep-learning","deep-neural-networks","natural-language-processing","neural-machine-translation","neural-networks","nlp","pytorch","pytorch-nlp","pytorch-tutorial"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/delip.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,"governance":null}},"created_at":"2019-01-24T01:18:13.000Z","updated_at":"2025-05-07T14:25:58.000Z","dependencies_parsed_at":"2024-05-01T05:31:50.335Z","dependency_job_id":null,"html_url":"https://github.com/delip/PyTorchNLPBook","commit_stats":null,"previous_names":["joosthub/pytorchnlpbook"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/delip%2FPyTorchNLPBook","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/delip%2FPyTorchNLPBook/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/delip%2FPyTorchNLPBook/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/delip%2FPyTorchNLPBook/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/delip","download_url":"https://codeload.github.com/delip/PyTorchNLPBook/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254310515,"owners_count":22049469,"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-learning","deep-neural-networks","natural-language-processing","neural-machine-translation","neural-networks","nlp","pytorch","pytorch-nlp","pytorch-tutorial"],"created_at":"2024-09-24T20:17:55.743Z","updated_at":"2025-05-15T09:07:43.409Z","avatar_url":"https://github.com/delip.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Natural Language Processing with PyTorch\n_Build Intelligent Language Applications Using Deep Learning_\n\u003cbr\u003eBy Delip Rao and Brian McMahan\n\n\nWelcome. This is a companion repository for the book [Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning](https://www.amazon.com/Natural-Language-Processing-PyTorch-Applications/dp/1491978236/).\n\n\nTable of Contents\n=================\n\n\u003c!--ts--\u003e\n* Get Started!\n* [Chapter 1: Introduction](https://github.com/joosthub/PyTorchNLPBook/tree/master/chapters/chapter_1)\n  * PyTorch Basics\n* Chapter 2: A Quick Tour of NLP\n* [Chapter 3: Foundational Components of Neural Networks](https://github.com/joosthub/PyTorchNLPBook/tree/master/chapters/chapter_3)\n  * In-text examples\n  * Diving deep into supervised training\n  * Classifying sentiment of restaurant reviews using a Perceptron\n* [Chapter 4: Feed-forward Networks for NLP](https://github.com/joosthub/PyTorchNLPBook/tree/master/chapters/chapter_4)\n  * Limitations of the Perceptron\n  * Introducing Multi-layer Perceptrons (MLPs)\n  * Introducing Convolutional Neural Networks (CNNs)\n  * Surname Classification with an MLP\n  * Surname Classification with a CNN\n* [Chapter 5: Embedding Words and Types](https://github.com/joosthub/PyTorchNLPBook/tree/master/chapters/chapter_5)\n  * Using Pretrained Embeddings\n  * Learning Continous Bag-of-words Embeddings (CBOW)\n  * Transfer Learning using Pre-trained Embeddings\n* [Chapter 6: Sequence Modeling for NLP](https://github.com/joosthub/PyTorchNLPBook/tree/master/chapters/chapter_6)\n  * A sequence representation for Surnames\n* [Chapter 7: Intermediate Sequence Modeling for NLP](https://github.com/joosthub/PyTorchNLPBook/tree/master/chapters/chapter_7)\n  * Generating novel surnames from sequence representations\n  * Uncondition generation\n  * Conditioned generation\n* [Chapter 8: Advanced Sequence Modeling for NLP](https://github.com/joosthub/PyTorchNLPBook/tree/master/chapters/chapter_8)\n  * Understanding PackedSequences \n  * Sequence to Sequence Learning\n  * Attention\n  * Neural Machine Translation\n* Chapter 9: Classics, Frontiers, Next Steps\n\u003c!--te--\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdelip%2Fpytorchnlpbook","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdelip%2Fpytorchnlpbook","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdelip%2Fpytorchnlpbook/lists"}