ubicloud
fiftyone
ubicloud | fiftyone | |
---|---|---|
16 | 21 | |
3,065 | 6,756 | |
3.9% | 2.7% | |
9.9 | 10.0 | |
5 days ago | 5 days ago | |
Ruby | Python | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
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.
ubicloud
- FLaNK AI for 11 March 2024
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Show HN: Open-source x64 and Arm GitHub runners. Reduces GitHub Actions bill 10x
The docs still say the Elastic license is used but looking at https://github.com/ubicloud/ubicloud/blob/main/LICENSE it looks like the project might have switched to GNU Affero General Public License v3.0 in the last day.
- GitHub - ubicloud/ubicloud: Open, free, and portable cloud. Elastic compute, block storage (non replicated), and virtual networking services in public alpha.
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Ask HN: How does your company balance test coverage and deploy speed?
At Ubicloud, we have 100% line and branch coverage that is mandated on every PR (https://github.com/ubicloud/ubicloud). We also have an E2E test suite that we run periodically and with every commit. We did not really feel like our tests are slowing us down, it actually makes us faster since we have a higher trust to the payload and many manual checks that would need to be done is safely skipped.
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Ubicloud – open, free and portable cloud
> Taken from here: https://ubicloud.com/
Am I the only one getting a certificate error browsing there?
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Ask HN: Thoughts about Elastic V2, SSPL, or mixed software licenses?
Link to our project: https://github.com/ubicloud/ubicloud
We’re choosing Elastic V2 for three reasons: (1) We’re planning to monetize through a managed service and we’d like the license to support that, (2) Later if we change our mind, we think it’s easier on our users if we go from a restrictive license to a more permissive one, and (3) The Elastic V2 license is much simpler than its cousin, Server Side Public License (SSPL).
That said, Elastic V2 is a new license and doesn’t seem to as popular as SSPL. Also, some projects out there mix and match multiple licenses in their repo to be able to call themselves open source.
Any insights / feedback on Elastic V2 or software licenses in general?
- Attribute-Based Access Control (ABAC) Implementation in 130 Lines of Code
fiftyone
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Anomaly Detection with FiftyOne and Anomalib
pip install -U git+https://github.com/voxel51/fiftyone.git
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May 8, 2024 AI, Machine Learning and Computer Vision Meetup
In this brief walkthrough, I will illustrate how to leverage open-source FiftyOne and Anomalib to build deployment-ready anomaly detection models. First, we will load and visualize the MVTec AD dataset in the FiftyOne App. Next, we will use Albumentations to test out augmentation techniques. We will then train an anomaly detection model with Anomalib and evaluate the model with FiftyOne.
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Voxel51 Is Hiring AI Researchers and Scientists — What the New Open Science Positions Mean
My experience has been much like this. For twenty years, I’ve emphasized scientific and engineering discovery in my work as an academic researcher, publishing these findings at the top conferences in computer vision, AI, and related fields. Yet, at my company, we focus on infrastructure that enables others to unlock scientific discovery. We have built a software framework that enables its users to do better work when training models and curating datasets with large unstructured, visual data — it’s kind of like a PyTorch++ or a Snowflake for unstructured data. This software stack, called FiftyOne in its single-user open source incarnation and FiftyOne Teams in its collaborative enterprise version, has garnered millions of installations and a vibrant user community.
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How to Estimate Depth from a Single Image
We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics.
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How to Cluster Images
With all that background out of the way, let’s turn theory into practice and learn how to use clustering to structure our unstructured data. We’ll be leveraging two open-source machine learning libraries: scikit-learn, which comes pre-packaged with implementations of most common clustering algorithms, and fiftyone, which streamlines the management and visualization of unstructured data:
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Efficiently Managing and Querying Visual Data With MongoDB Atlas Vector Search and FiftyOne
FiftyOne is the leading open-source toolkit for the curation and visualization of unstructured data, built on top of MongoDB. It leverages the non-relational nature of MongoDB to provide an intuitive interface for working with datasets consisting of images, videos, point clouds, PDFs, and more.
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FiftyOne Computer Vision Tips and Tricks - March 15, 2024
Welcome to our weekly FiftyOne tips and tricks blog where we recap interesting questions and answers that have recently popped up on Slack, GitHub, Stack Overflow, and Reddit.
- FLaNK AI for 11 March 2024
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How to Build a Semantic Search Engine for Emojis
If you want to perform emoji searches locally with the same visual interface, you can do so with the Emoji Search plugin for FiftyOne.
- FLaNK Stack Weekly for 07August2023
What are some alternatives?
manageiq - ManageIQ Open-Source Management Platform
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
fog-azure-rm - Fog for Azure Resource Manager
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
cloudfront-signer - Ruby gem for signing AWS CloudFront private content URLs and streaming paths.
ZnTrack - Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.
AWS SDK for Ruby - The official AWS SDK for Ruby.
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
forem - For empowering community 🌱
streamlit - Streamlit — A faster way to build and share data apps.
homebrew-portable-ruby - 🚗 Versions of Ruby that can be installed and run from anywhere on the filesystem.
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.