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test-stock-prediction-algorithms

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

text-to-handwriting

So your teacher told you to upload written assignments on ERP? Hate writing assigments? This tool will help you convert your text to handwriting xD

textcluster

短文本聚类预处理模块 Short text cluster

the-elements-of-statistical-learning-python-notebooks

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

the-open-book

thesis

Source Code for Alex Kendall's PhD Thesis

thinkbayes

Code repository for Think Bayes.

thunder-trader

A industrial high-performance High Frequency Trading System by C++11, support CTP, Femas and so on. 基于C++11开发的量化交易平台，可实现CTP、飞马等平台的高频交易策略。

tick

Module for statistical learning, with a particular emphasis on time-dependent modelling

tiger

Python toolbox to evaluate graph vulnerability and robustness

tightlycoupledinsgnss

INS/GNSS紧组合程序，使用伪距、伪距率、INS测量，支持双天线测向数据。

time-series-classification-and-clustering

Time series classification and clustering code written in Python.

time-series-forecasting

time-series-forecasting-of-amazon-stock-prices-using-neural-networks-lstm-and-gan-

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

timechart

An chart library specialized for large-scale time-series data, built on WebGL.

timeseriesanalysiswithpython

timetk

A toolkit for working with time series in R

timing-strategy-of-stock-trading

Stock trading using timing strategy (股票的择时交易): mainly use short & long moving average of stock price and also analyze the performance of this strategy.

tinycheck

TinyCheck allows you to easily capture network communications from a smartphone or any device which can be associated to a Wi-Fi access point in order to quickly analyze them. This can be used to check if any suspect or malicious communication is outgoing from a smartphone, by using heuristics or specific Indicators of Compromise (IoCs). In order to make it working, you need a computer with a Debian-like operating system and two Wi-Fi interfaces. The best choice is to use a Raspberry Pi (2+) a Wi-Fi dongle and a small touch screen. This tiny configuration (for less than $50) allows you to tap any Wi-Fi device, anywhere.

tinyspark

It's a project use baostock datasource with talib to calculate stock indicates, including RSI/Boll etc.

tma_repo

repository for the target motion analysis implementations.

tme-filter-smoother

Taylor Moment Expansion (TME) Gaussian Filter and Smoother

toad-gan

Official repository for "TOAD-GAN: Coherent Style Level Generation from a Single Example" by Maren Awiszus, Frederik Schubert and Bodo Rosenhahn.

top-10-computer-vision-papers-2020

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

tpami_eeimvc

Matlab code for TPAMI2020：Efficient and Effective Regularized Incomplete Multi-view Clustering

tpu

Reference models and tools for Cloud TPUs.

tqsdk-python

天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易

trackerbots

TrackerBots is an open source framework to develop a fully autonomous system for Unmanned Aerial Vehicles (UAVs) to track multiple radio-tagged objects.

trackercomponentlibrary

This is a collection of Matlab functions that are useful in the development of target tracking algorithms.

trackingx

An Object Oriented MATLAB toolkit for (Multi) Target Tracking.