torch-metrics VS onemetric

Compare torch-metrics vs onemetric and see what are their differences.

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torch-metrics onemetric
2 2
109 58
- -
1.8 0.0
about 3 years ago about 2 years ago
Python Python
MIT License 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.

torch-metrics

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

onemetric

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

What are some alternatives?

When comparing torch-metrics and onemetric you can also consider the following projects:

ignite - High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.

Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline

ALAE - [CVPR2020] Adversarial Latent Autoencoders

PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.