Summer (wfy0508)

wfy0508

Geek Repo

Company:BigWorld

Location:Star

Home Page:https://github.com/summer

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Summer's starred repositories

ML-NLP

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。

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JavaGuide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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evil-huawei

Evil Huawei - 华为作过的恶

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BigData-Notes

大数据入门指南 :star:

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awesome-spider

爬虫集合

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BlockChain

黑马程序员 120天全栈区块链开发 开源教程

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pure-bash-bible

📖 A collection of pure bash alternatives to external processes.

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python-is-cool

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

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interview_internal_reference

2023年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。

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wtfpython

What the f*ck Python? 😱

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GitHubDaily

坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.

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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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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OnJava8

《On Java 8》中文版

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OnJava8-Examples

Code Examples for the book "On Java 8"

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handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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TinyDeepLearning

a simple deep learning framework implemented from scratch using Python.

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Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy

This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。

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numpy-ml

Machine learning, in numpy

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the-fucking-github

A Chrome extension for Github. View starred repositories, organizing stars, searching stars and searching repositories online for Github。

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deeplearning_ai_books

deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)

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