andytjh Goto Github PK

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

pcwg

Power Curve Working Group

pcwg-1

Power Curve Working Group

phd-windpoweroutput

Simple Wind Turbine Design and Wind Power output calculations using Weibull and Power curve

power_curve

A power curve analysis ( wats to speed) for indoor trainer IN'RIDE 100 B'TWIN

ppl

Code and anonymized data subset for: Piecewise Power Laws In Individual Learning Curves

privacy-and-performance-in-power-consumption-curve-generation-with-gans

This repository contains several GAN models for artificial power consumption curve generation, along with the code to train them and evaluate their privacy using membership inference attacks.

share-ssr-v2ray

🃏 Free SS/SSR/V2ray 免费分享节点账号信息网站

stock

Stock Market Prediction Using Unsupervised Features

stock-market-prediction-web-app-using-machine-learning-and-sentiment-analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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.

stockpriceprediction

Stock Price Prediction using Machine Learning Techniques

synthetic_power_curves

This repositories provides functions to generate synthetic wind power curves for different applications such as feed-in calculations for future scenarios.

taobao_seckill

淘宝、天猫半价抢购，抢电视、抢茅台，干死黄牛党

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-handbook

简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程

tensorflow2_tutorials_chinese

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

tesseract

Tesseract Open Source OCR Engine (main repository)

test

tf-pytorch-paddle

三大深度学习框架：tensorflow，pytorch，paddle的高层API使用学习

tools-ocr

树洞 OCR 文字识别（一款跨平台的 OCR 小工具）

v2ray

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v2ray-for-doprax

The tool can install v2ray on the Doprax, including VMess and VLess protocols, it will automatically switch IP, you need to fork this projects, read readme.md and run it. Create By ifeng.

v2rayn

A V2Ray client for Windows, support Xray core and v2fly core

wind-power-curve-modeling

wind-power-output

This script can help in aggregating power output from turbine power curve and wind data

wind-turbine-power-curve-diagram

Creates an SVG of an idealised wind turbine power curve, for release under the public domain

windpowerlib

The windpowerlib is a library to model the output of wind turbines and farms.