moongj Goto Github PK

metagodoc

An alternative to godoc.org

microservices

modern-cpp-features

A cheatsheet of modern C++ language and library features.

moongj.github.io

msu-datascience-ml-tutorial-2018

Machine learning with Python tutorial at MSU Data Science 2018

mysql-docker

Dockerfiles and scripts for MySQL products

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

powerlevel10k

A Zsh theme

profilinggo

A quick tour (or reminder) of Go performance tools

pymlslides

Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book

pyspark-tutorial

Learn Spark using Python, Video - >

python

My Python Examples

python-1

All Algorithms implemented in Python

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python-spark-tutorial

python_reference

Useful functions, tutorials, and other Python-related things

rtsp-client-server

Implementation of a streaming video server and client that communicate using the Real-Time Streaming Protocol (RTSP) and send data using the Realtime Transfer Protocol (RTP)

s.s-similarity

A software designed to calculate the semantic similarity between 2 sentences

serverutil

server util

service-training

The training material for the service repo

several-coding-patterns-for-solving-data-structures-and-algorithms-problems-during-interviews

Several Coding Patterns for Solving Data Structures and Algorithms Problems during Interviews

socket

select, poll 和 epoll实例性能比较

spark-log-analyzer

Spark Apache Log Analyzer

stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

stat479-machine-learning-fs18

Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

stdman

Formatted C++20 stdlib man pages (cppreference)

studybook

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

t-414-aflv

T-414-ÁFLV: A Competitive Programming Course