PEGASUS 's Projects
100-Days-Of-ML-Code中文版
:notebook:从Java基础、JavaWeb基础到常用的框架再到面试题都有完整的教程,几乎涵盖了Java后端必备的知识点
清华大学计算机系考研攻略 Guidance for postgraduate entrance examination in Department of Computer Science and Technology, Tsinghua University
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Ai Learning Roadmap based on lots of open course sources and book materials. 我总结的 AI 学习路径。
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Collection of awesome interview references.
Homepage for STAT 157 at UC Berkeley
个人认为对技术提升很不错的书
北航研究生复试计算机上机题目(06-14年),题目来自网络,仅供学习参考。
All Algorithms implemented in C
My Solutions to K. N. King's "C Programming: A Modern Approach", second edition
:book: [译] MIT 18.03 面向初学者的微积分
VScode说明文档翻译
计算机网络:自顶向下设计8th(2020),配套PPT,编程作业,WireShark实验,新增2020Fall Slides。
The Hardware/Software Interface by David Patterson, John Hennessy
吴恩达老师的机器学习课程个人笔记
😋 技术面试必备基础知识
计算机自学指南
Solutions and Notes for Labs of Computer Systems: A Programmer's Perspective 3rd Editon // 《深入理解计算机系统》第三版的实验文件、解答与笔记
Dive into Deep Learning: an interactive deep learning book on Jupyter notebooks, using the NumPy interface.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
本仓库将PyTorch官方书籍《Deep learning with PyTorch》(基本摘录版)翻译成中文版并给出可运行的相关代码。
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
深度学习入门教程
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,近30万字。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
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Interactive roadmaps, guides and other educational content to help developers grow in their careers.