tsfresh
Deep_Learning_Machine_Learning_Stock
| tsfresh | Deep_Learning_Machine_Learning_Stock | |
|---|---|---|
| 4 | 48 | |
| 8,087 | 1,149 | |
| 0.5% | - | |
| 5.4 | 6.1 | |
| 14 days ago | 2 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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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
Deep_Learning_Machine_Learning_Stock
- Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:1017.0
- Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:924.0
- Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:792.0
- Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:729.0
- Deep-Learning-Machine-Learning-Stock: curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may b
What are some alternatives?
tsflex - Flexible time series feature extraction & processing
bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python
FinanceDataReader - Financial data reader [Moved to: https://github.com/FinanceData/FinanceDataReader]
SDV - Synthetic data generation for tabular data
TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
Time-Series-Transformer - A data preprocessing package for time series data. Design for machine learning and deep learning.
deltapy - DeltaPy - Tabular Data Augmentation (by @firmai)
darts - A python library for user-friendly forecasting and anomaly detection on time series.
DataScienceProjects
tsfel - An intuitive library to extract features from time series.
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.