Autoformer
tsai
Autoformer | tsai | |
---|---|---|
1 | 4 | |
1,732 | 4,730 | |
4.2% | 3.0% | |
5.4 | 7.4 | |
4 months ago | 20 days ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Autoformer
-
[P] ts-tok: Time-Series Forecasting with Classification
The CustomDataset can use the datasets from here: google drive. source: https://github.com/thuml/Autoformer
tsai
-
Aeon: A unified framework for machine learning with time series
Also https://github.com/timeseriesAI/tsai
-
What is the current state-of-art in sequence classification?
You might be interested in tsai. I am not affiliated with them and have not used tsai, but I have been planning to try it for too long … well :p
-
[P] Deep Learning for time series forecasting (neuralforecast, python package)
how about tsai?
- Machine learning with Time series data
What are some alternatives?
Deep_XF - Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
dtan - Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
nixtla - TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
mlforecast - Scalable machine 🤖 learning for time series forecasting.
gluonts - Probabilistic time series modeling in Python
dspytai - EVMOS blockchain Dapp that utilizes on-chain data to model potential price fluctuations in real-time from covalent api.
TGLSTM - Pytorch implementation of LSTM for irregular time series