torch-metrics VS datasets

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

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torch-metrics datasets
2 15
109 18,411
- 0.8%
1.8 9.5
about 3 years ago 6 days ago
Python Python
MIT License Apache License 2.0
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.

datasets

Posts with mentions or reviews of datasets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-19.

What are some alternatives?

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

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

sentence-transformers - Multilingual Sentence & Image Embeddings with BERT

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

datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

ALAE - [CVPR2020] Adversarial Latent Autoencoders

cypress-realworld-app - A payment application to demonstrate real-world usage of Cypress testing methods, patterns, and workflows.

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

edex-ui - A cross-platform, customizable science fiction terminal emulator with advanced monitoring & touchscreen support.

onemetric - One Metrics Library to Rule Them All!

first-contributions - 🚀✨ Help beginners to contribute to open source projects

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.

frankmocap - A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator