Deep_XF VS tsai

Compare Deep_XF vs tsai and see what are their differences.

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. (by ajayarunachalam)

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 (by timeseriesAI)
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Deep_XF tsai
3 4
110 4,703
- 2.5%
10.0 7.4
over 1 year ago 16 days ago
Jupyter Notebook Jupyter Notebook
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

Deep_XF

Posts with mentions or reviews of Deep_XF. We have used some of these posts to build our list of alternatives and similar projects.

tsai

Posts with mentions or reviews of tsai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-22.

What are some alternatives?

When comparing Deep_XF and tsai you can also consider the following projects:

modeltime - Modeltime unlocks time series forecast models and machine learning in one framework

darts - A python library for user-friendly forecasting and anomaly detection on time series.

Autoformer - About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

wb_gdp_predict - Predicting next year's GDP using ML (Python)

statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.

Auto_TS - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

lockdowndates - Retrieve the dates of the restrictions imposed by governments in countries around the world during the covid-19 pandemic.

neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.

BrewPOTS - The tutorials for PyPOTS.

nixtla - Python SDK for TimeGPT, a foundational time series model