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10-steps-to-become-a-data-scientist

Ready to learn!, you will learn 10 skills as data scientist: Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve real problem for instance predict house prices.

100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-1

100-Days-Of-ML-Code中文版

1zlab_opencv_handwriting

OpenCV手写字体识别专题教程主要侧重的是对手写数字样本的采集与预处理部分， 主要包括图像透视变换，二值化，联通阈检索，字符分割。

60_days_rl_challenge

Learn Deep Reinforcement Learning in Depth in 60 days

996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

al-go-rithms

:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/

algorithm004-01

aps

attention-ocr

Visual Attention based OCR

awesome-machine-learning-cn

机器学习资源大全中文版，包括机器学习领域的框架、库以及软件

bigdata

brainmapperapp

as of Aug 2013

chineseocr

yolo3+ocr

cps-ocr-engine

An awesome OCR engine developed by SYSU DeepDriving Lab

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

data-analyst

Content for Udacity's Data Analyst curriculum

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

data-scientist

To Be A Data Scientist

dataanalysis_python

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

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17个章节，20多万字。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[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips