Pinned Repositories
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
APIN2021_COVID19_Project
A github repository for publishing data and code related to the paper "Statistical analysis of the community lockdown for COVID-19 pandemic, APIN 2021".
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
bitcoin-price-prediction
Bayesian regression for latent source model and Bitcoin
Corr_Prediction_ARIMA_LSTM_Hybrid
We applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
d2l-zh
《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。
Detailed_Results_of_VGbel
This repository contains the detailed experimental results of VGbel and is available for download and review.
Dive-into-DL-PyTorch
本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。
Multivariate_Stock_Time_Series_Dataset
Multivariate daily data of 800 stocks from the Chinese stock market.
tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版
shaocongWu's Repositories
shaocongWu/Multivariate_Stock_Time_Series_Dataset
Multivariate daily data of 800 stocks from the Chinese stock market.
shaocongWu/Detailed_Results_of_VGbel
This repository contains the detailed experimental results of VGbel and is available for download and review.
shaocongWu/tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版
shaocongWu/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
shaocongWu/APIN2021_COVID19_Project
A github repository for publishing data and code related to the paper "Statistical analysis of the community lockdown for COVID-19 pandemic, APIN 2021".
shaocongWu/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
shaocongWu/bitcoin-price-prediction
Bayesian regression for latent source model and Bitcoin
shaocongWu/Corr_Prediction_ARIMA_LSTM_Hybrid
We applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
shaocongWu/d2l-zh
《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。
shaocongWu/Dive-into-DL-PyTorch
本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。
shaocongWu/free-programming-books
:books: Freely available programming books
shaocongWu/gaft
A Genetic Algorithm Framework in Python
shaocongWu/graph_classification
Learning from graph data using Keras
shaocongWu/latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
shaocongWu/loveyue
loveyue系列1到8的源码
shaocongWu/nsfw_data_scrapper
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
shaocongWu/OUCML
shaocongWu/Personae
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
shaocongWu/stocknet-dataset
A comprehensive dataset for stock movement prediction from tweets and historical stock prices.
shaocongWu/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
shaocongWu/TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
shaocongWu/textdistance
Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
shaocongWu/Time-Series-ARIMA-XGBOOST-RNN
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN