sktime-dl
Crossformer
| sktime-dl | Crossformer | |
|---|---|---|
| 1 | 1 | |
| 599 | 366 | |
| 0.2% | 9.0% | |
| 5.3 | 3.7 | |
| 3 months ago | 5 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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sktime-dl
Crossformer
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The Transformer Blueprint
Great write up. There were a few grammatical errors - I’d suggest piping it through a LLM prompted to find grammar errors :-)
Another area of interesting research is the use of transformer like models for highly dimensional time series prediction. While language and vision are interesting and have their uses, my opinion is the application of these techniques for multidimensional non linear effects in time series may ultimately have more broad and significant impact. Ex:
https://github.com/Thinklab-SJTU/Crossformer
What are some alternatives?
InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification
PyPOTS - A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science tasks of imputation, classification, clustering, forecasting & anomaly detection on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data
tslearn - The machine learning toolkit for time series analysis in Python
ETSformer - PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
darts - A python library for user-friendly forecasting and anomaly detection on time series.
gluonts - Probabilistic time series modeling in Python
sktime - A unified framework for machine learning with time series
LTSF-Linear - [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
tidle-brain - TiDLE time-series forecasting in Tensorflow (Google. paper 2023)