hunej's repositories
CNN-TA
Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.
Deep-Convolution-Stock-Technical-Analysis
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
energy-weather-modelling
Use of time series modelling tools including ARIMA, LSTM, and Monte Carlo simulation to model electricity consumption, rainfall and temperature data.
esp-idf
Espressif IoT Development Framework. Official development framework for Espressif SoCs.
FinRL
FinRL: Financial Reinforcement Learning Framework.🔥
keras-tensorflow-financial-time-series-signal-forecast
Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM
leetcode
LeetCode in pure C
MADToolkit
This repository contains the Milsig Airsoft & Dartsoft Software Development Kit, which can can be built as a airsoft or dartsoft task props box.
MFRC522-examples
Examples for https://github.com/miguelbalboa/rfid
Monte-Carlo-Simulation-of-stock-Price-based-on-real-TimeSeries-data
Demonstration of how to simulate future stock prices from past price movements in order to get a normal distribution of future stock prices from varying timedeltas.
monte_carlo_simulation
This library allows you to run Monte Carlo simulations on time series
onset_db
Onset data set which can be used to tune/evaluate onset detection algorithms.
qq-pat
The qq-pat library provides you with an easy interface for the creation of graphs and the calculation of statistics for financial time series. It provides functionality similar to the R library PerformanceAnalystics in Python. It allows you to draw graphs, calculate general statistics and perform some advanced analysis such as Monte Carlo simulations and minimum variance portfolio optimizations.
rfid
Arduino RFID Library for MFRC522
RfidShelf
Make your shelf play MP3s!
statsmodels
Statsmodels: statistical modeling and econometrics in Python
Time-Series-Forecasting-using-Prophet-library---Markov-chain-Monte-Carlo-method
Assignment - To predict the calls for the Month of May, 2020 while March and April,2020 call volumes are provided
TPA-LSTM
Temporal Pattern Attention for Multivariate Time Series Forecasting