tsaug: An Open-Source Python Package for Time Series Augmentation

Data augmentation for deep learning

Trading: Unveiling the Secrets of Candlestick Patterns: A Deep Dive into Market Trading Strategies

Trading: Leveraging LSTM for Time-Series Forecasting: A Deep Learning Approach

Trading: Unlocking the Power of Distribution Predictions in Forecasting: Advantages Over Point Predictions

DSP: Frequency Bandpass Filter in Python

# bandpass filter
from scipy.signal import butter, lfilter

def butter_bandpass(lowcut…

U-Time: A Fully Convolutional Network for Time Series Segmentation and Event Detection

U-Time

DSP: Exploring Biomedical Signal Processing with Python: A Beginner’s Guide

Biomedical signal…

Trading: Exploring Financial Data Visualization: Candlestick Patterns and Indicators

Trading: Unveiling the Power of Forex Market Tick Correlation Analysis

DSP: Waveform Signal Generator in Python

Plot generated Signals