12306

12306智能刷票，订票

2019.11-bigdata_match

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cppprimerplus-six-

C++PrimerPlus(第6版)中文版源码

faceswap

Deepfakes Software For All

freenom

Freenom域名自动续期。Freenom domain name renews automatically.

genshin-auto-sign-in

原神米游社每日自动签到 Genshin Impact Automatic Daily Sign-in

genshin-sign

原神自动签到

genshin-sign-helper

原神签到助手

genshindailyhelper

miHoYo APP Genshin Impact daily bonus by Github Action 利用.Net5 和 Github Action 自动执行 米游社原神每日签到福利

machine-learning-course

:speech_balloon: Machine Learning Course with Python

paddleclas

A treasure chest for visual recognition powered by PaddlePaddle

pixiv-nginx

P站（Pixiv）的正确打开方式

powertoys

Windows system utilities to maximize productivity

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

qianmo-white.github.io

谦末

senta

Baidu's open-source Sentiment Classification System.

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.

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

test-hello.world

just a test

test-stock-prediction-algorithms

Use deep learning, genetic programming and other methods to predict stock and market movements

vanillawebprojects

Mini projects built with HTML5, CSS & JavaScript. No frameworks or libraries