general VS poutyne

Compare general vs poutyne and see what are their differences.

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general poutyne
1 1
1 557
- 0.0%
0.0 4.5
about 1 year ago 10 months ago
Python
- 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.

general

Posts with mentions or reviews of general. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-09.

poutyne

Posts with mentions or reviews of poutyne. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-09.
  • [D] Looking for open source projects to contribute
    15 projects | /r/MachineLearning | 9 Jan 2022
    Hi, I'm the author of Poutyne, a library that aims to simplify the use of PyTorch while keeping all its flexibility. Always looking for contributions. If you look in the issue on the Github repo, you'll few suggestions but I'm always looking for other ideas to improve the library.

What are some alternatives?

When comparing general and poutyne you can also consider the following projects:

habitat-sim - A flexible, high-performance 3D simulator for Embodied AI research.

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

dataqa - Labelling platform for text using weak supervision.

docarray - Represent, send, store and search multimodal data

kaggle-environments

habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.

vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).