NTNk.jl
tsfresh
| NTNk.jl | tsfresh | |
|---|---|---|
| 1 | 4 | |
| 8 | 8,087 | |
| - | 0.5% | |
| 1.8 | 5.4 | |
| almost 3 years ago | 11 days ago | |
| Julia | Jupyter Notebook | |
| GNU General Public License v3.0 only | MIT License |
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NTNk.jl
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Tensor decompositions in Julia?
From my dear friend google: TensorToolbox.jl. How is that? There's also NTNk.jl. I haven't used either of these.
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?
ITensors.jl - A Julia library for efficient tensor computations and tensor network calculations
tsflex - Flexible time series feature extraction & processing
TensorToolbox.jl - Julia package for tensors as multidimensional arrays, with functionalty within Tucker format, Kruskal (CP) format, Hierarchical Tucker format and Tensor Train format.
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation 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.
SDV - Synthetic data generation for tabular data
Time-Series-Transformer - A data preprocessing package for time series data. Design for machine learning and deep learning.
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
Deep-Learning-Machine-Learning-Stock - Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders. [Moved to: https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock]
stingray - Anything can happen in the next half hour (including spectral timing made easy)!