蒲公英书系列读者社区:概念与习题问答、学习交流、实践分享;保留第一版习题讨论。
☆794Sep 6, 2026Updated 2 months ago
Alternatives and similar repositories for nndl-discussion
Users that are interested in nndl-discussion are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 《神经网络与深度学习:案例与实践》第二版:10 章 PyTorch 实践、Notebook、测试与电子书。☆3,563Sep 7, 2026Updated 2 months ago
- 《神经网络与深度学习:案例与实践》第一版(2022)配套代码:8 章 PaddlePaddle 实践。☆1,219Sep 6, 2026Updated 2 months ago
- 邱锡鹏《神经网络与深度学习》第二版与通识版:电子书、章节目录、学习资源与勘误。☆19,578Sep 6, 2026Updated 2 months ago
- 《大模型与智能体》电子书与 6 个编程任务:Transformer、mini-GPT、SFT/DPO、RAG、工具调用与编程智能体。☆6,872Sep 6, 2026Updated 2 months ago
- 此项目完成了关于 NLP-Beginner:自然语言处理入门练习 的所有任务,所有代码都经过测试,可以正常运行。☆1,395Aug 25, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 《统计学习方法》的代码实现☆19,604Oct 5, 2026Updated last month
- 南瓜书:《机器学习》(西瓜书)公式详解☆26,155Apr 22, 2026Updated 6 months ago
- 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。☆19,530Oct 14, 2021Updated 5 years ago
- 手写实现李航《统计学习方法》书中全部算法☆11,651Nov 25, 2025Updated 11 months ago
- 机器学习方法习题解答,在线阅读地址:https://datawhalechina.github.io/statistical-learning-method-solutions-manual☆2,091May 8, 2026Updated 6 months ago
- 该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记☆4,034Oct 11, 2026Updated 3 weeks ago
- 数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路☆4,779Jul 22, 2026Updated 3 months ago
- fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.☆3,139Jun 5, 2023Updated 3 years ago
- ☆5,264Apr 13, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。☆82,349Jul 30, 2024Updated 2 years ago
- NLP研究入门之道☆2,080Nov 26, 2019Updated 6 years ago
- ☆13Jul 12, 2022Updated 4 years ago
- Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现☆7,809Jun 23, 2020Updated 6 years ago
- Python NLP Reading Notebook By DUTIR Searh Engine Group☆18Sep 19, 2018Updated 8 years ago
- ☆421Mar 10, 2021Updated 5 years ago
- 致力于将李航博士《统计学习方法》一书中所有算法实现一遍☆5,834Apr 29, 2019Updated 7 years ago
- 数据科学的笔记以及资料搜集☆8,611Oct 5, 2026Updated last month
- Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]☆6,330Aug 5, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 《机器学习理论导引》(宝箱书)的证明、案例、概念补充与参考文献讲解。☆1,738Sep 9, 2026Updated 2 months ago
- 深度学习经典、新论文逐段精读☆34,095Mar 22, 2025Updated last year
- 《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases☆16,860Oct 23, 2026Updated 2 weeks ago
- 强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/☆14,877Oct 23, 2026Updated 2 weeks ago
- PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)☆12,847Dec 24, 2023Updated 2 years ago
- items browsed in a session as a context are modeled to vec with bidirectional lstm☆18Nov 17, 2016Updated 9 years ago
- 机器学习 - 从原理到实现☆31Nov 8, 2021Updated 5 years ago
- 主要展示Datawhale的组队学习计划。☆2,426Jan 8, 2023Updated 3 years ago
- PRML algorithms implemented in Python☆11,735Apr 5, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行☆21,739Jul 25, 2024Updated 2 years ago
- 此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。☆17,843Jan 9, 2026Updated 10 months ago
- 周志华《机器学习》手推笔记☆3,787Mar 13, 2021Updated 5 years ago
- 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sc…☆57,716Jun 26, 2024Updated 2 years ago
- 深度学习入门教程, 优秀文章, Deep Learning Tutorial☆17,883Apr 21, 2022Updated 4 years ago
- 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,提升核心竞争力☆7,509Aug 24, 2022Updated 4 years ago
- deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)☆21,232Oct 5, 2026Updated last month
Are these results useful?