xingshugang's Stars
zhenweishi/QMITH
MRI-based quantitative measure of intra-tumoral heterogeneity in breast cancer
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
perlatex/R_for_Data_Science
Materials for teaching R and tidyverse
linkui96/CopyUtil
Chalarangelo/30-seconds-of-python
Short Python code snippets for all your development needs
gto76/python-cheatsheet
Comprehensive Python Cheatsheet
luwill/Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
zhaoolee/ChromeAppHeroes
🌈谷粒-Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~ 公众号「0加1」同步更新
weijie-chen/Linear-Algebra-With-Python
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
fengdu78/deeplearning_ai_books
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
ddbourgin/numpy-ml
Machine learning, in numpy
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
fengdu78/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
exacity/deeplearningbook-chinese
Deep Learning Book Chinese Translation
apachecn/ai-roadmap
ApacheCN AI 路线图(知识树)
TheAlgorithms/Python
All Algorithms implemented in Python
jackfrued/Python-100-Days
Python - 100天从新手到大师
nndl/exercise
exercise for nndl
CopyTranslator/CopyTranslator
Foreign language reading and translation assistant based on copy and translate.
deeplearning-ai/machine-learning-yearning-cn
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
MLEveryday/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
scutan90/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
apachecn/hands-on-ml-zh
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题,网站已下线!!】
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
swirldev/swirl_courses
:mortar_board: A collection of interactive courses for the swirl R package.
khanhnamle1994/statistical-learning
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
baacloud/url
Baacloud官网
jmzeng1314/GEO
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解