Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
100daysofcode-with-python-course
Course materials and handouts for #100DaysOfCode in Python course
ad-eval
Sequential anomaly detection method evaluation
airline-data
Scripts to automatically download and preprocess airline data for Infomap
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Competition
These are the game codes for machine learning.
echarts
Enterprise Charts 【Baidu Hi : 1379172 | Email : echarts@baidu.com】
MarketingAnalytics
Spark + Python for Maketing Analytics
nupic
Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.
x-deeplearning
An industrial deep learning framework for high-dimension sparse data
pfjob09's Repositories
pfjob09/x-deeplearning
An industrial deep learning framework for high-dimension sparse data
pfjob09/airline-data
Scripts to automatically download and preprocess airline data for Infomap
pfjob09/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
pfjob09/autoxgboost
pfjob09/awesome-algorithm
LeetCode, HackRank, 剑指offer, classic algorithm implementation
pfjob09/awesome-mac
Now we have become very big, Different from the original idea. Collect premium software in various categories.
pfjob09/bayesAB
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
pfjob09/book
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）
pfjob09/cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
pfjob09/Data-Competition-TopSolution
Data competition Top Solution 数据竞赛top解决方案开源整理
pfjob09/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt
pfjob09/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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
pfjob09/gcn
Implementation of Graph Convolutional Networks in TensorFlow
pfjob09/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
pfjob09/infomap
Multi-level network clustering based on the Map equation
pfjob09/infomap-notebooks
Jupyter notebooks with Infomap tutorials in python
pfjob09/InfoMapCommunityDetectionAlgorithm
Infomap algorithm and visualization of communities with Python3
pfjob09/item2vec
Implement item2vec algorithm
pfjob09/modeldb
A system to manage machine learning models
pfjob09/MovieTaster-Open
使用Item2Vec做电影推荐
pfjob09/pkuseg-python
python版本：领域细分的中文分词工具，简单易用，跟现有开源工具相比提高了分词的准确率。
pfjob09/PRML
PRML algorithms implemented in Python
pfjob09/pyGregorian2LunarCalendar
前言： 由于三体运动（主要地球、太阳、月球）无法准确预测，目前二十四节气依然还是靠天文台观测，Yovey使用传说中[Y*D+C]-L方法实际有很多天数不准，def getSolarTerms(_date)12个if嵌套判断让代码变得十分冗余，由简书网友“大咖_247c”首先发现计算不准问题…… 方案过程： 1、在校验过数据与公式差异后，第一方案是采用15%黄经夹角计算，计算后差异依然存在，地球椭圆形轨道一年内公转速度差异超过7%； 2、在发现椭圆轨道问题后，尝试使用平均值、开普勒第二定律计算行星轨道，计算值已经十分贴近了，但依然和香港天文台数据有差异，恍然大悟，地球、月亮、太阳三个天体呈现无法完美预测的三体运动，甚至还包括木星引力影响（比如传说中九星连珠，虽然引力抵消微弱），而且太阳本身也在运动，地球和太阳的质量也不是永恒不变的，这就导致地球的恒星年相对稳定，但回归年浮动振荡； 3、当试过所有技术物理原理还无法调节误差后，最终使用了Chen Jian的核心设计理念，添加了十六进制加存二十四节气。 # coding=UTF-8 # 1901~2100年农历数据表 # Author: cuba3 # base code by Yovey , https://www.jianshu.com/p/8dc0d7ba2c2a # powered by Late Lee, http://www.latelee.org/python/python-yangli-to-nongli.html#comment-78 # other author:Chen Jian, http://www.cnblogs.com/chjbbs/p/5704326.html # 数据来源: http://data.weather.gov.hk/gts/time/conversion1_text_c.htm
pfjob09/SDM
Sequential deep matching model for recommender system at alibaba.
pfjob09/snap-python
SNAP Python code, SWIG related files
pfjob09/spark-deep-learning
Deep Learning Pipelines for Apache Spark
pfjob09/spatio-temporal-paper-list
Spatio-temporal modeling 论文列表（主要是graph convolution相关)
pfjob09/TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
pfjob09/Terminal
The new Windows Terminal, and the original Windows console host -- all in the same place!
pfjob09/Weibo-Analyst
Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类