tfaug VS Joblib

Compare tfaug vs Joblib and see what are their differences.

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tfaug Joblib
2 2
7 3,656
- 0.9%
1.8 7.0
about 2 years ago 12 days ago
Jupyter Notebook 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.

tfaug

Posts with mentions or reviews of tfaug. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-12.

Joblib

Posts with mentions or reviews of Joblib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-12.

What are some alternatives?

When comparing tfaug and Joblib you can also consider the following projects:

imgaug - Image augmentation for machine learning experiments.

schedule - Python job scheduling for humans.

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

celery - Distributed Task Queue (development branch)

image-statistics-matching - Methods for alignment of global image statistics aimed at unsupervised Domain Adaptation and Data Augmentation

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

PSpider - 简单易用的Python爬虫框架,QQ交流群:597510560

doit - task management & automation tool

tensorflow - An Open Source Machine Learning Framework for Everyone

APScheduler - Task scheduling library for Python

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

think-async - 🌿 Exploring cooperative concurrency primitives in Python