Mr.Midnight (shaocongWu)

shaocongWu

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Mr.Midnight's repositories

Multivariate_Stock_Time_Series_Dataset

Multivariate daily data of 800 stocks from the Chinese stock market.

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tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

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100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

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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".

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awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

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bitcoin-price-prediction

Bayesian regression for latent source model and Bitcoin

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Corr_Prediction_ARIMA_LSTM_Hybrid

We applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

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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。

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Detailed_Results_of_VGbel

This repository contains the detailed experimental results of VGbel and is available for download and review.

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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。

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free-programming-books

:books: Freely available programming books

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gaft

A Genetic Algorithm Framework in Python

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graph_classification

Learning from graph data using Keras

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latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

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loveyue

loveyue系列1到8的源码

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nsfw_data_scrapper

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

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Personae

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

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stocknet-dataset

A comprehensive dataset for stock movement prediction from tweets and historical stock prices.

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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.

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TensorFlow-Course

Simple and ready-to-use tutorials for TensorFlow

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textdistance

Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

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Time-Series-ARIMA-XGBOOST-RNN

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

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