easonlv
I have board interests in Data Mining and Machine Learning. I am particularly interested in Recommender System and Graph Neural Network.
Alibaba GroupBeijing,China
Pinned Repositories
30min_guides
覃健祥的学习笔记,各种几十分钟入门的文档
AI-books
AIProCon
2019 AI 开发者大会
algorithm-exercise
Data Structure and Algorithm notes. 数据结构与算法/leetcode/lintcode题解/
Analytics_Vidhya
Codes related to activities on AV including articles, hackathons and discussions.
annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Artificial_Intelligence
人工智能导论 | 人工智能基础
awesome-awesomeness
A curated list of awesome awesomeness
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
ebook
A collection of classic computer science books from Internet
easonlv's Repositories
easonlv/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
easonlv/BDA_m_demos
Bayesian Data Analysis demos for Matlab/Octave
easonlv/bing
easonlv/clickmodels
ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)
easonlv/ctci
Cracking the Coding Interview
easonlv/data-science-at-the-command-line
Data Science at the Command Line
easonlv/DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
easonlv/doc-ml-ufldl
Unsupervised Feature Learning and Deep Learning Tutorial
easonlv/everyday
code from the book "Exploring Everyday Things with R and Ruby"
easonlv/ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
easonlv/lb
easonlv/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
easonlv/machine-learning-samples
Sample applications built using Amazon Machine Learning.
easonlv/machinelearninginaction
Source Code for the book: Machine Learning in Action published by Manning
easonlv/Matlab-Codes
Some functions in Matlab for Machine Learning
easonlv/ml_cheat_sheet
My notes and superstitions about common machine learning algorithms
easonlv/pandas-cookbook
Recipes for using Python's pandas library
easonlv/py-must-watch
Must-watch videos about Python
easonlv/pydata-gbrt-tutorial
IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"
easonlv/Python-ELM
Extreme Learning Machine implementation in Python
easonlv/python-geohash
fast, accurate python geohashing library
easonlv/rpforest
It is a forest of random projection trees
easonlv/search-engine
easonlv/spark_multiboost
An implementation of the multi-class/multi-label classifier, of which the training is carried out using AdaBoost.MH on Apache Spark.
easonlv/SparkInternals
Notes talking about the design and implementation of Apache Spark
easonlv/StockInference-Spark
Stock inference engine using Spring XD, Apache Geode / GemFire and Spark ML Lib.
easonlv/TextGrocery
A simple short-text classification tool based on LibLinear
easonlv/the-swift-programming-language-in-chinese
中文版 Apple 官方 Swift 教程《The Swift Programming Language》
easonlv/tutorial_theano
Common Code Workflow tutorial on Theano