Time-Series-Transformer
tsfresh
Time-Series-Transformer | tsfresh | |
---|---|---|
18 | 4 | |
191 | 8,087 | |
- | 0.5% | |
0.0 | 5.4 | |
over 3 years ago | 14 days ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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Time-Series-Transformer
tsfresh
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For deep learning practitioners in industry, is the workflow always this annoying? [D]
This is definitely a good thing to try for time-series; you can automate your feature extraction too (eg using https://github.com/blue-yonder/tsfresh ).
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[D] Incorporating external data in LSTM models for sales forecasting in e-commerce
don't forget your feature engineering -> https://github.com/blue-yonder/tsfresh
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[R] Approach to identify clusters on a time series
Rather than the exact clustering algorithm, I think the main issue here is the feature extraction for the clustering. https://github.com/blue-yonder/tsfresh might be useful for that.
- Automatic time series feature extraction based on scalable hypothesis tests
What are some alternatives?
nixtlats - Deep Learning for Time Series Forecasting.
tsflex - Flexible time series feature extraction & processing
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python
pycaret - An open-source, low-code machine learning library in Python
Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
SDV - Synthetic data generation for tabular data
stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
darts - A python library for user-friendly forecasting and anomaly detection on time series.
tsfel - An intuitive library to extract features from time series.
Anomaly_Detection_Tuto - Anomaly detection tutorial on univariate time series with an auto-encoder