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90daysofdevops

This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.

algorithm_interview_notes-chinese-master

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

coding-interview-university

A complete computer science study plan to become a software engineer.

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

developer-roadmap

Roadmap to becoming a developer in 2022

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

devops-resources

DevOps resources - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP

efforts-to-go-master

Go basics and some simple projects.

efforts-to-python-master

fastai

The fastai deep learning library

free-programming-books

:books: Freely available programming books

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

hands-on-data-analysis

动手学数据分析以项目为主线，知识点孕育其中，通过边学、边做、边引导来得到更好的学习效果

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.

imgstorage

Image storage for markdown notes.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

mininet

Emulator for rapid prototyping of Software Defined Networks

ml-for-beginners

12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all

ml_implementation

Implementation of Machine Learning Algorithms

peng-g.github.io

my own website

python-mini-projects

A collection of simple python mini projects to enhance your python skills

rl-models

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

spark

This is OpenMLDB's Spark Distribution, which is particularly optimized for feature extraction. It includes a few novel techniques, such as native implementation of last join and multi-window parallelization. Its APIs are fully compatible with the standard Spark. It is designed to be a component of OpenMLDB (https://github.com/4paradigm/OpenMLDB).