[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-9613":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":10,"languages":10,"totalLinesOfCode":10,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":15,"stars7d":16,"stars30d":17,"stars90d":15,"forks30d":15,"starsTrendScore":18,"compositeScore":19,"rankGlobal":10,"rankLanguage":10,"license":20,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":23,"hasPages":23,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":32,"readmeContent":33,"aiSummary":34,"trendingCount":15,"starSnapshotCount":15,"syncStatus":18,"lastSyncTime":35,"discoverSource":36},9613,"cheatsheets-ai","kailashahirwar\u002Fcheatsheets-ai","kailashahirwar","Essential Cheat Sheets for deep learning and machine learning researchers https:\u002F\u002Fmedium.com\u002F@kailashahirwar\u002Fessential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5","https:\u002F\u002Faicheatsheets.com",null,15407,3390,1023,12,0,5,13,2,73.8,"MIT License",false,"master",true,[25,26,27,28,29,30,31],"artificial-intelligence","deep-learning","keras","machine-learning","matplotlib","numpy","scipy","2026-06-12 04:00:46","# AI Cheatsheets\n\nEssential Cheat Sheets for deep learning and machine learning engineers\n\nWebsite: https:\u002F\u002Faicheatsheets.com\n\n\u003Cp align=\"center\">\n  \u003Cimg width=\"50%\" height=\"auto\" src=\"Triplebyte_logo.png\">\n\u003C\u002Fp>\n\u003Cp align=\"center\">\nLooking for a new job? Take Triplebyte’s \u003Ca href=\"https:\u002F\u002Ftriplebyte.com\u002Fa\u002FZYAvvEc\u002Fd\">quiz\u003C\u002Fa> and get a job at top companies like Adobe, Dropbox and Instacart!\n\u003C\u002Fp>\n\n![website-1](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002Fscreenshots\u002Fwebsite.png)\n\n![website-2](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002Fscreenshots\u002Fwebsite-2.png)\n\n![tensorflow-1](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002Fscreenshots\u002Ftensorflow1.png)\n\nMedium Article: https:\u002F\u002Fmedium.com\u002F@kailashahirwar\u002Fessential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5\n\n![medium-article](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002Fscreenshots\u002Fmedium-article.png)\n\nReddit Thread: https:\u002F\u002Fwww.reddit.com\u002Fr\u002FPython\u002Fcomments\u002Fcyslju\u002Fai_cheatsheets_now_learn_tensorflow_keras_pytorch\u002F?utm_source=share&utm_medium=web2x\n\n![reddit-post](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002Fscreenshots\u002Freddit-post.png)\n  \n    \n  - [**Tensorflow**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FPDFs\u002FTensorflow.pdf)\u003Cbr>\n  - [**Keras**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FKeras.jpg)\u003Cbr>\n  - [**Neural Networks Zoo**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FNeural%20Networks%20Zoo.png)\u003Cbr>\n  - [**Numpy**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FNumpy.png)\u003Cbr>\n  - [**Scipy**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FScipy.png)\u003Cbr>\n  - [**Pandas-1**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FPandas-1.jpg)\u003Cbr>\n  - [**Pandas-2**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FPandas-2.jpg)\u003Cbr>\n  - [**Pandas-3**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FPandas-3.png)\u003Cbr>\n  - [**Scikit-learn**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FScikit%20Learn.png)\u003Cbr>\n  - [**Matplotlib**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FMatplotlib.png)\u003Cbr>\n  - [**Seaborn**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002Fseaborn.png)\u003Cbr>\n  - [**ggplot2-1**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002Fggplot2-1.jpg)\u003Cbr>\n  - [**ggplot2-2**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002Fggplot2-2.jpg)\u003Cbr>\n  - [**PySpark**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FPySpark.jpg)\u003Cbr>\n  - [**PySpark-RDD**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FPySpark-RDD.png)\u003Cbr>\n  - [**PySpark-SQL**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FPySpark-SQL.png)\u003Cbr>\n  - [**R Studio(dplyr & tidyr)-1**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FData%20Wrangling%20with%20dplyr%20and%20tidyr%20-%20R%20Studio-1.jpg)\u003Cbr>\n  - [**R Studio(dplyr & tidyr)-2**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FData%20Wrangling%20with%20dplyr%20and%20tidyr%20-%20R%20Studio-2.jpg)\u003Cbr>\n  - [**Neural Network Cells**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FNeural%20Network%20Cells.png)\u003Cbr>\n  - [**Neural Network Graphs**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FNeural%20Network%20Graphs.png)\u003Cbr>\n  - [**Deep Learning Cheat Sheet**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FDeep%20Learning%20Cheat%20Sheet-Hacker%20Noon.pdf)\u003Cbr>\n  - [**Dask1**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FDask1.png)\n  - [**Dask2**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FDask2.png)\n  - [**Dask3**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FDask3.png)\n  - [**Dask4**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FDask4.png)\n  - [**All Cheat Sheets(PDF)**](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FAll%20Cheat%20Sheets.pdf)\u003Cbr>\n  \n[**Medium Article**](https:\u002F\u002Fmedium.com\u002F@kailashahirwar\u002Fessential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5)\n  \nLicense\n-----------------\n\n[MIT License](https:\u002F\u002Fgithub.com\u002Fkailashahirwar\u002Fcheatsheets-ai\u002Fblob\u002Fmaster\u002FLICENSE.md)\n\n[AI Cheatsheets](https:\u002F\u002Faicheatsheets.com)","该项目为深度学习和机器学习研究人员提供了必备的速查表。它涵盖了TensorFlow、Keras、Numpy、Scipy、Pandas、Scikit-learn、Matplotlib、Seaborn等常用库和技术，每个主题都以简洁明了的方式总结了关键概念、函数及使用方法，帮助用户快速回顾或学习相关知识。适合于需要频繁查阅AI相关技术文档的数据科学家、工程师以及学生，在实际开发、研究或学习过程中作为参考资料使用。","2026-06-11 03:23:46","top_topic"]