cleanvision
Automatically find issues in image datasets and practice data-centric computer vision. (by cleanlab)
amplify
Bacalhau Amplify: automatic enrichment, enhancement, and explanation of your data (by bacalhau-project)
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cleanvision | amplify | |
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4 | 3 | |
921 | 10 | |
2.4% | - | |
7.3 | 7.5 | |
5 days ago | 8 months ago | |
Python | Go | |
GNU Affero General Public License v3.0 | 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.
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.
cleanvision
Posts with mentions or reviews of cleanvision.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-22.
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[D] Is accurately estimating image quality even possible?
Github: https://github.com/cleanlab/cleanvision Blogpost: https://cleanlab.ai/blog/cleanvision/
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How to label augmented images for training YOLO algorithm?
Before you start augmentations you could also use something like CleanVision to examine your image data and see if there are any recurring problems like (near) duplicates, blurry images, etc. It doesn't do anything for you, but it might be good to get an idea for the images you are working with.
- CleanVision: Audit your Image Data for better Computer Vision
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[P] CleanVision: Audit your Image Data for better Computer Vision
Github: https://github.com/cleanlab/cleanvision
amplify
Posts with mentions or reviews of amplify.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-22.
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Jupyter Lab Extension to run your GPU-heavy stuff (for free for now) on somebody's else server without blocking yours
When using Jupyter Lab and running GPU-heavy notebooks are you annoyed that your computer is not usable for anything else? I made an extension which allows you to run complex AI inference, training,... remotely on decentralized servers [see bacalhau.org]. This allows you to work on multiple GPU-heavy notebooks in parallel. For now Bacalhau is free, so this is a really cool way to run GPU stuff.
- Introducing Bacalhau Amplify: a tool/service that aims to automatically enrich, enhance, and explain your data
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[P] CleanVision: Audit your Image Data for better Computer Vision
Nice! Thanks for this. Will try this in a project I'm working on: https://github.com/bacalhau-project/amplify/issues/26
What are some alternatives?
When comparing cleanvision and amplify you can also consider the following projects:
imgaug - Image augmentation for machine learning experiments.
Dataplane - Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows.
cleanvision-examples - Notebooks demonstrating example applications of the cleanvision library
rtdl - rtdl makes it easy to build and maintain a real-time data lake
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
task-amenability
deailab - Decentralised AI Jupyter Lab Extension
improved-aesthetic-predictor - CLIP+MLP Aesthetic Score Predictor
memphis - Memphis.dev is a highly scalable and effortless data streaming platform