hswang108 Goto Github PK
Name: hswang108
Type: User
hswang108's Projects
learning-probabilistic-graphical-models-in-r
Learning Probabilistic Graphical Models in R
learning_pandas
Learning Pandas - Python Data Discovery and Analysis Made Easy
learning_r
Learnings in R
leetcode
LeetCode Problems' Solutions
leven
Source code and dataset for ACL2022 Findings Paper "LEVEN: A Large-Scale Chinese Legal Event Detection dataset"
library--
The papers and books I've read or am about to read.
lit
math / AI / NLP / programming books and papers
machine-learning-books
this is a fork of collection of books for machine learning.
machine-learning-for-algorithmic-trading-second-edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
machine-learning-for-cyber-security
Curated list of tools and resources related to the use of machine learning for cyber security
machine-learning-for-cybersecurity-cookbook
Machine Learning for Cybersecurity Cookbook, published by Packt
machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
machine-learning-project
不動產自動估價系統─使用機器學習模型預測房價
machinelearning_coursework
This is the coursework in "INTRODUCTION TO MACHINE LEARNING". It is a machine learning course in Python.
mastering-blockchain-third-edition
Mastering Blockchain, Third Edition, published by packt
mastering-predictive-analytics-with-r-second-edition
Mastering Predictive Analytics with R - Second Edition, published by Packt
mathematical-methods-in-deep-learning-ipython
Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).
matplotlib-tutorial
Matplotlib tutorial for beginner
microbiome-summer-school-2017
Introduction to Machine Learning
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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。
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
mml-companion
This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.
models
Models and examples built with TensorFlow
mrt_prediction
To predict the crowd flow of Taipei MRT on a given day, given time, at a given station.
ms-dos
The original sources of MS-DOS 1.25 and 2.0, for reference purposes
mslearn-use-git-from-vs-code
Sample code for MS Learn module
mycis
MYCIS：健保西醫診所資訊系統（MY Clinical Information System），以 Python 開發。
mysql_cc
MySQL Crash Course by Rick Silva
nccu-r-workshop
從入門到上手 - R語言集訓班，2016/10/03(一) - 2016/10/31(一)
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