Pinned Repositories
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https://github.com/dmlc
AI-Competition-Collections
收集整理各种人工智能比赛经验帖。【从他人比赛经验中，总是可以学到很多东西】
AI-for-Keras
本系列代码主要是作者Python人工智能之Keras的系列博客，涉及回归神经网络、CNN、RNN、LSTM等内容。基础性代码，希望对您有所帮助。
Appliances-energy-prediction-data
Data sets and scripts for the publication in Energy and Buildings Data driven prediction models of energy use of appliances in a low-energy house. Luis M. Candanedo, Véronique Feldheim, Dominique Deramaix. Energy and Buildings, Volume 140, 1 April 2017, Pages 81-97, ISSN 0378-7788,
awesome-deep-vision
A curated list of deep learning resources for computer vision
DL_for_NLP_Jason-Brownlee
Deep Learning for Natural Language Processing Repository
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Python-for-Data-Mining
该资源为作者在CSDN的撰写Python数据挖掘和数据分析文章的支撑，主要是Python实现数据挖掘、机器学习、文本挖掘等算法代码实现，希望该资源对您有所帮助，一起加油。
SentimentAnalysis
文本情感分析
weibo-crawler
新浪微博爬虫，用python爬取新浪微博数据，并下载微博图片和微博视频
superuichang's Repositories
superuichang/SentimentAnalysis
文本情感分析
superuichang/Appliances-energy-prediction-data
Data sets and scripts for the publication in Energy and Buildings Data driven prediction models of energy use of appliances in a low-energy house. Luis M. Candanedo, Véronique Feldheim, Dominique Deramaix. Energy and Buildings, Volume 140, 1 April 2017, Pages 81-97, ISSN 0378-7788,
superuichang/Face-Recognition_FaceNet_PyTorch
superuichang/face2sketch
This code is the MATLAB implementation of converting face to sketch and vice versa
superuichang/FASNet
CNN archictecture for face anti-spoofing
superuichang/machine_learning_basic
my machine learning notes
superuichang/Operation-Research-with-R
运筹学与R的最佳实践
superuichang/Paper-Implementations
Use PyTorch to implement some classic frameworks
superuichang/SVR--Decision-Trees--Random-Forests--DeepNeuralNets--to-PREDICT-FOREST-FIRES
This repo is an implementation of the research paper "A Data Mining Approach to Predict Forest Fires using Meteorological Data." by P. Cortez and A. Morais. The algorithms used are : SVR, Decision Trees, Random Forests, Simple Deep Neural Network ( Keras with Tensorflow backend)
superuichang/TrafficFlowPrediction
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).