fnn
tsfresh
| fnn | tsfresh | |
|---|---|---|
| 1 | 4 | |
| 118 | 8,087 | |
| - | 0.5% | |
| 1.8 | 5.4 | |
| almost 3 years ago | 11 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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fnn
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[R] PhD & postdoc positions at UT Austin: ML for complex systems (chaotic time series, cellular automata, & fluid dynamics)
Code for https://arxiv.org/abs/2002.05909 found: https://github.com/williamgilpin/fnn
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?
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
tsflex - Flexible time series feature extraction & processing
cellular-automata-pytorch - A reproduction and tweaking of Growing Neural Cellular Automata
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python
dspytai - EVMOS blockchain Dapp that utilizes on-chain data to model potential price fluctuations in real-time from covalent api.
Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
pycaret - An open-source, low-code machine learning library in Python
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