vikingee's Stars
bahree/GenAIBook
"Generative AI in Action" book's code repository
Apress/beginning-anomaly-detection-python-deep-learning-2e
Code repository for the second edition of "Beginning Anomaly Detection Using Python-Based Deep Learning"
aHagouel/IOT-Aquaponics-in-NYC
I want to serve my friends lettuce that I grew myself, fertilized by fish-poop generated nitrates from a Recirculating Aquaculture System in my bedroom, and managed by the internet (of things!).
TsaiRongFu/AI-Aquaculturing
This project is developed for smart aquaculture. We use a camera to capture pictures of fishes in the tank. A deep neural network (MobileNet) is applied to recognize the images to identify the situation of fishes in the tank. EdgeTPU is used for edge computing. We also monitor the water quality by some environmental sensors. All the information is integrated into a website constructed by Laravel, and a Linebot is used to deliver information on mobile phones.Four undergraduate students develop this project from the Department of Management Information Systems (MIS), National Pingtung University of Science and Technology (NPUST), Taiwan.
zhy0313/ea-python
量化交易策略
smalldan1022/Taiwan-Stocks
台灣上市櫃公司爬蟲,分析盤後股票趨勢以及繪製K線圖、均線圖、三大法人成交量
aprilyye/heikin-ashi-algo-trading
Algorithmic trading utilizing Heikin-Ashi candlestick plotting
matplotlib/mplfinance
Financial Markets Data Visualization using Matplotlib
vietsDeng/Stock-Prediction
stock predict by cnn and lstm
JostineHo/mememoji
A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.
qjadud1994/CRNN-Keras
CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition
yiaktan/NLP-Stock-Prediction
gkeng/Listening-to-Chaotic-Whishpers--Code
Seedarchangel/TuChart
Tuchart is a visualization interface for the Chinese stock market. Tuchart supports candlestick charts, price charts, tick data, high-frequency data and distribution of top shareholders for individual stocks. Tuchart是一个基于pyqt和echarts的股票视觉化应用。Tuchart 支持日/月线,分笔,高频数据,前十股东分笔的视觉化
WayneDW/Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction
Use NLP to predict stock price movement associated with news
PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
NolanGit/ServerTools
App Store应用价格监控、异常天气监控、内网/外网ip监控、黄金价格监控
NolanGit/GoldPriceMonitor
监控国内黄金价格,一旦低于或高于期望值则发送邮件提醒或微信通知,同时带有一个好用的GUI
AlgoTraders/stock-analysis-engine
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
GitYCC/NTU_HYLee_MachineLearning_Homework
作業分享:台大李宏毅 (Hung-Yi Lee) 教授的Machine Learning (2016, Fall)
maplezzz/NTU_ML2017_Hung-yi-Lee_HW
NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
VivekPa/IntroNeuralNetworks
Introducing neural networks to predict stock prices
lilianweng/stock-rnn
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
yumoxu/stocknet-code
Code for stock movement prediction from tweets and historical stock prices.
yumoxu/stocknet-dataset
A comprehensive dataset for stock movement prediction from tweets and historical stock prices.
llSourcell/Reinforcement_Learning_for_Stock_Prediction
This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube
jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
vedic-partap/Event-Driven-Stock-Prediction-using-Deep-Learning
A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements
scorpionhiccup/StockPricePrediction
Stock Price Prediction using Machine Learning Techniques