Nlp_ability Alternatives

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提
Alternatives To Nlp_ability
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Transformers143,208642,484a day ago125November 15, 2023946apache-2.0Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Made With Ml37,985
8 months ago5May 15, 20196mitJupyter Notebook
Learn how to design, develop, deploy and iterate on production-grade ML applications.
D2l En21,912
a year ago2November 13, 2022115otherPython
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Fingpt15,854
4 months ago2October 20, 202357mitJupyter Notebook
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Best Of Ml Python14,990
a year ago21cc-by-sa-4.0
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Awesome Pytorch List14,715
a year ago4
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Flair14,1112469a month ago31October 28, 202365otherPython
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Dive Into Dl Pytorch13,747
4 years ago76apache-2.0Jupyter Notebook
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Nlp Tutorial13,226
a year ago35mitJupyter Notebook
Natural Language Processing Tutorial for Deep Learning Researchers
Haystack12,47430a year ago100November 09, 2023346apache-2.0Python
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
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