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wywenying's Projects

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dive-into-dl-pytorch icon dive-into-dl-pytorch

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。

funnlp icon funnlp

几乎最全的中文NLP资源库

hands-on-deep-learning-with-pytorch icon hands-on-deep-learning-with-pytorch

本仓库提供了使用PyTorch进行深度学习的最佳实践，从深度学习环境搭建与张量基础入手，从0到1构建和训练神经网络，通过优化促进模型的收敛和更好的效果，同时着力于深度架构落地实践，最后通过一线CV（和NLP）企业级应用提升实战能力。项目以Jupyter Notebook为主，兼顾了理论基础和最佳实现，而不只是空洞的代码，适合小白入门；通过若干案例和大项目巩固实战和项目迁移能力；并提供多种优化手段助力论文和比赛提分。

llm_interview_note icon llm_interview_note

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

train_custom_dataset icon train_custom_dataset

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

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