pytorch-forecasting VS languagetool

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

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pytorch-forecasting languagetool
9 310
3,625 11,594
- 0.7%
8.6 10.0
1 day ago about 18 hours ago
Python Java
MIT License GNU Lesser General Public License v3.0 only
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.

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.

languagetool

Posts with mentions or reviews of languagetool. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-27.

What are some alternatives?

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

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

awesome-selfhosted - A list of Free Software network services and web applications which can be hosted on your own servers

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

Emacs-langtool - LanguageTool for Emacs

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

docker-languagetool - Dockerfile for LanguageTool

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

docker-languagetool - Dockerfile for LanguageTool server - configurable

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]

neovim - Vim-fork focused on extensibility and usability

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

ltex-ls - LTeX Language Server: LSP language server for LanguageTool :mag::heavy_check_mark: with support for LaTeX :mortar_board:, Markdown :pencil:, and others