MYW (MaYanweiGithub)

MaYanweiGithub

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MYW's repositories

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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seata

:fire: Seata is an easy-to-use, high-performance, open source distributed transaction solution.

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mybatis-3

MyBatis SQL mapper framework for Java

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spring

Spring integration for MyBatis 3

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mybatis-spring-boot-starter

MyBatis integration with Spring Boot

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spring-framework

Spring Framework

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spring-boot

Spring Boot

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elasticsearch

Free and Open, Distributed, RESTful Search Engine

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redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

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nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

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attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

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layui

采用自身模块规范编写的前端 UI 框架,遵循原生 HTML/CSS/JS 的书写形式,极低门槛,拿来即用。

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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transformer

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

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scikit-learn

scikit-learn: machine learning in Python

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CoreNLP

Stanford CoreNLP: A Java suite of core NLP tools.

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tensorflow

Computation using data flow graphs for scalable machine learning

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Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

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caffe

Caffe: a fast open framework for deep learning.

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opencv

Open Source Computer Vision Library

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100_Days_of_ML_Code

These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube

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OpenCV2-Python-Tutorials

This repo contains tutorials on OpenCV-Python library using new cv2 interface

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Mining-the-Social-Web-2nd-Edition

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

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