govuk-components
albumentations
| govuk-components | albumentations | |
|---|---|---|
| 7 | 29 | |
| 140 | 13,472 | |
| 5.0% | 1.2% | |
| 9.3 | 8.9 | |
| 13 days ago | 7 days ago | |
| Ruby | Python | |
| MIT License | MIT License |
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.
govuk-components
- Ask HN: What side projects landed you a job?
- Library of ViewComponents as a gem?
- Does anyone kind of miss simpler webpages?
- Is ViewComponent the Future of Rails?
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Exploring ViewComponent
Gov.uk
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USWDS: The United States Web Design System
I haven't used them myself, but the GOV.UK components look and function great.
https://govuk-components.netlify.app/
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Ruby on Rails: View Components and Storybook and Tailwind, Match Made in Heaven?
Wow that's awesome, I knew GDS had a design system but didn't realise it was written in Ruby.
Quick link for others: https://github.com/DFE-Digital/govuk-components
I'm going to take a look through the repo as I'm sure there's some patterns you've found given you're at a much bigger scale. Any hot tips?
albumentations
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Augment specific classes?
You can use albumentations if you are comfortable with using open source libraries https://github.com/albumentations-team/albumentations
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Ask HN: What side projects landed you a job?
One of the members of the core team of our open-source library https://albumentations.ai/
It was not the only reason he was hired; it was a solid addition to his already good performance at the interviews.
Or at least that is what the hiring manager later said.
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The Lack of Compensation in Open Source Software Is Unsustainable
I am one of the creators and maintainers of https://albumentations.ai/.
- 12800+ stars
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Burn Deep Learning Framework Release 0.7.0: Revamped (de)serialization, optimizer & module overhaul, initial ONNX support and tons of new features.
Is something planned to support data augmentations? Something like https://albumentations.ai/
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How to label augmented images for training YOLO algorithm?
Here you go: https://albumentations.ai/
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Unstable Diffusion bounces back with $19,000 raised in one day, by using Stripe
I think they should use some data augmentation techniques like I am using for Infinity AI if you wanna see more here. Note that most of these do not work for image generation.
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Tokyo Drift : detecting drift in images with NannyML and Whylogs
Our second approach was a more automated one. Here the idea was to try out an image augmentation library, Albumentations, and use it for adversarial attacks. This time, instead of one-shot images, we applied the transformations at random time ranges. We chose for these transformations also to be more subtle than then one-shot images, such as vertical flips, grayscaling, downscaling, …
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[D] Improve machine learning with same number of images
Check out albumentations. If your use case is segmentation, check out the offline augmentation of this project
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What are the best programs/scripts for image augmentation of YOLO5 training dataset. Something like roboflow but free)
I think this is the most popular open source project: https://github.com/albumentations-team/albumentations
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To get dataset for face image restoration.
You can also curate your own dataset by using open source images (https://universe.roboflow.com/search?q=faces%20images%3E1000) and open source augmentations (https://github.com/albumentations-team/albumentations). Or you can do use the augmentation UI (https://docs.roboflow.com/image-transformations/image-augmentation) to apply noise, blurring, shear, crop, etc.
What are some alternatives?
uswds - The U.S. Web Design System helps the federal government build fast, accessible, mobile-friendly websites.
imgaug - Image augmentation for machine learning experiments.
lookbook - A UI development environment for Ruby on Rails apps ✨
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model
govuk-design-system - One place for service teams to find styles, components and patterns for designing government services.
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
bestmotherfucking.website - The Best Motherfucking Website
autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
info-frontend - Serves /info pages to display user needs and performance data about a page on GOV.UK
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
govuk-docker - GOV.UK development environment using Docker 🐳
BlenderProc - A procedural Blender pipeline for photorealistic training image generation