tsai VS sktime-dl

Compare tsai vs sktime-dl and see what are their differences.

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tsai sktime-dl
4 1
4,690 599
2.2% 0.2%
7.4 5.3
8 days ago 3 months ago
Jupyter Notebook Python
Apache License 2.0 BSD 3-clause "New" or "Revised" License
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.

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.

sktime-dl

Posts with mentions or reviews of sktime-dl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-24.

What are some alternatives?

When comparing tsai and sktime-dl you can also consider the following projects:

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

InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification

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

tslearn - The machine learning toolkit for time series analysis in Python

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.

sktime - A unified framework for machine learning with time series

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

NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

mlforecast - Scalable machine 🤖 learning for time series forecasting.

hydra - HYDRA: Competing convolutional kernels for fast and accurate time series classification