yiran02's repositories

Analytics_Vidhya

Codes related to activities on AV including articles, hackathons and discussions.

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books

"我的阅历"

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daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

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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15个章节,近20万字。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

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DM-Competition-Getting-Started

数据挖掘竞赛(Kaggle,Data Castle,Analytics Vidhya,DrivenData)入门实践

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ebooks

我的大数据学习书单

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facenet

Face recognition using Tensorflow

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handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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books-1

:books: Books worth reading

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ICML-2018-Papers

https://icml.cc/Conferences/2018/Schedule

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imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

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lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

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machine-learning-yearning-cn

CHINESE TRANSLATION OF MACHINE LEARNING YEARNING BY ANDREW NG

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MachineLearning

Machine Learning in Action(机器学习实战)

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practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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PRML

PRML algorithms implemented in Python

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pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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python-for-data-analysis

An introduction to data science using Python and Pandas with Jupyter notebooks.

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Python-for-Probability-Statistics-and-Machine-Learning

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

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python-machine-learning-book

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

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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pywt

PyWavelets - Wavelet Transforms in Python

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real-world-machine-learning

Code accompanying the Real-World Machine Learning book

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state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

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statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

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study

collective intelligence

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studyFiles

一些经典且高质量的电子书分享

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tfjs-models

Pretrained models for TensorFlow.js

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Tracking-with-darkflow

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

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