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ios13-simulatetouch

iOS Automation Framework iOS Touch Simulation Library

ipatch

GUI tool to inject dynamic libraries into IPA files

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

libimobiledevice_vs2013

libimobiledevice is fully compiled in windows with vs2013

lof

LOF每日溢价监控助手，用于每日定时检查LOF溢价情况，并自动将数据推送到微信

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

machine-learning-for-stock-recommendation-ieee-2018

A Practical Machine Learning Approach for Dynamic Stock Recommendation. IEEE TrustCom 2018.

machine-learning-for-stock-trading

Application of Machine Learning Algorithms to Intraday Stock Trading Based on Demand Zones

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

myquant

我的量化交易学习实践代码

patchcore-few-shot

Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"

phonechecksystem

Phone Check System

predictions

pythonquantitativefinance

专注于分享Python在金融领域的应用，欢迎关注微信公众号: Python金融量化 （id：tkfy920）

qt-qroilib

QT Vision ROI Library (using OpenCV)

real-time-stock-market-prediction

In this repository, I have developed the entire server-side principal architecture for real-time stock market prediction with Machine Learning. I have used Tensorflow.js for constructing ml model architecture, and Kafka for real-time data streaming and pipelining.

rwhec-tabb-ahmadyousef

This code provides methods for robot-world, hand-eye(s) calibration, updated in June 2018..

shape_based_matching

try to implement halcon shape based matching, refer to machine vision algorithms and applications, page 317 3.11.5, written by halcon engineers

simplestockanalysispython

Teaches step-by-step to analysis stock data in python.

stock-market-forecasting

Forecasting directional movements of stock prices for intraday trading using LSTM and random forest

stock-prediction-models

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

stock_analysis_for_quant

Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

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.

swagger-py-codegen

a Python web framework generator supports Flask, Tornado, Falcon, Sanic

thesis-ms-asset-price-forecast

This repository is dedicated to my master thesis, in which I forecast Goldman Sachs and General Electric stock prices.

tradx

ultralytics_yolov8

NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

yt

My YouTube tutorial codes

zipline-cn

port zipline to support china stock

zvt

modular quant framework.