datawhalechina / easy-grokking-deep-learningLinks
Easy-Grokking-Deep-Learning,意为轻松摸索深度学习,英文缩写可简称为EGDL。
☆17Updated 2 years ago
Alternatives and similar repositories for easy-grokking-deep-learning
Users that are interested in easy-grokking-deep-learning are comparing it to the libraries listed below
Sorting:
- Datawhale自研数据标注工具☆69Updated last year
- 水很深的深度学习☆132Updated last year
- 解锁HuggingFace生态的百般用法☆93Updated 7 months ago
- Datawhale论文分享,阅读前沿论文,分享技术创新☆49Updated last year
- 《自然语言处理:大模型理论与实践》配套数据和代码☆68Updated 7 months ago
- AM (Advanced Mathematics) Chat is a large language model that integrates advanced mathematical knowledge, exercises in higher mathematics…☆201Updated 11 months ago
- 聪明办法学Python,简明且系统的 Python 入门教程第二版。☆327Updated 6 months ago
- Datawhale 开源项目管理委员会(Datawhale Open-source Project Management Committee,简称DOPMC)☆225Updated last month
- 《科研论文配图》组队学习☆84Updated last year
- a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合☆181Updated last year
- a chinese tutorial of git☆156Updated last year
- wow-fullstack,令人惊叹的全栈开发教程☆206Updated last month
- 全球顶级高校AI课程知识点笔记与速查表☆288Updated 3 years ago
- 《机器学习数学基础》有关资料☆121Updated last year
- 开源Excel教程。☆148Updated 2 years ago
- ☆23Updated last month
- 图深度学习(葡萄书),在线阅读地址: https://datawhalechina.github.io/grape-book☆245Updated last year
- 李宏毅《线性代数》笔记,在线阅读地址 https://datawhalechina.github.io/leela-notes☆37Updated 5 years ago
- 《李宏毅生成 式人工智能教程》,PDF下载地址:https://github.com/datawhalechina/leegenai-tutorial/releases☆153Updated last month
- 人工智能:现代方法(第4版)笔记☆59Updated 2 years ago
- 📚《统计学习方法-李航: 笔记》 200页PDF,公式细节讲解🎉☆473Updated 3 weeks ago
- 《解构大语言模型:从线性回归到通用人工智能》配套代码☆231Updated 3 weeks ago
- 人工智能培训课件资源☆106Updated this week
- leeml-notes已更名为leedl-tutorial,请访问:https://github.com/datawhalechina/leedl-tutorial☆20Updated last year
- https://hml.boyuai.com☆489Updated 2 years ago
- 本项目对中文版《动手学深度学习》中的代码进行了整理☆59Updated 4 years ago
- Hugging Vision, Hugging AGI.☆158Updated last week
- 一个面向小白的大模型应用开发课程☆60Updated last year
- ☆148Updated 3 years ago
- 本项目致力于为大模型领域的初学者提供全面的知识体系,包括基础和高阶内容,以便开发者能迅速掌握大模型技术栈并全面了解相关知识。☆60Updated 7 months ago