uncertainty-baselines VS pytorch-forecasting

Compare uncertainty-baselines vs pytorch-forecasting and see what are their differences.

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uncertainty-baselines pytorch-forecasting
3 9
1,344 3,533
0.8% -
5.9 8.7
about 1 month ago 7 days ago
Python Python
Apache License 2.0 MIT 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.

uncertainty-baselines

Posts with mentions or reviews of uncertainty-baselines. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-17.

pytorch-forecasting

Posts with mentions or reviews of pytorch-forecasting. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-14.

What are some alternatives?

When comparing uncertainty-baselines and pytorch-forecasting you can also consider the following projects:

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

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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

Lime-For-Time - Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

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

snntorch - Deep and online learning with spiking neural networks in Python

Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.

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

DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

pycox - Survival analysis with PyTorch

deepdow - Portfolio optimization with deep learning.