cleanlab
AFFiNE
cleanlab | AFFiNE | |
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69 | 86 | |
8,673 | 30,690 | |
6.0% | 4.4% | |
9.4 | 10.0 | |
3 days ago | 4 days ago | |
Python | TypeScript | |
GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
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.
cleanlab
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[Research] Detecting Annotation Errors in Semantic Segmentation Data
We have feely open-sourced our new method for improving segmentation data, published a paper on the research behind it, and released a 5-min code tutorial. You can also read more in the blog if you'd like.
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[R] Automated Quality Assurance for Object Detection Datasets
We’ve open-sourced one line of code to find errors in any object detection dataset via Cleanlab Object Detection, which can utilize any existing object detection model you’ve trained.
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[Research] Detecting Errors in Numerical Data via any Regression Model
If you'd like to learn more, you can check out the blogpost, research paper, code, and tutorial to run this on your data.
- Detecting Errors in Numerical Data via Any Regression Model
- cleanlab v2.5 now supports all major ML tasks (adds regression, object detection, and image segmentation)
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Automated Data Quality at Scale
Sharing some context here: in grad school, I spent months writing custom data analysis code and training ML models to find errors in large-scale datasets like ImageNet, work that eventually resulted in this paper (https://arxiv.org/abs/2103.14749) and demo (https://labelerrors.com/).
Since then, I’ve been interested in building tools to automate this sort of analysis. We’ve finally gotten to the point where a web app can do automatically in a couple of hours what I spent months doing in Jupyter notebooks back in 2019—2020. It was really neat to see the software we built automatically produce the same figures and tables that are in our papers.
The blog post shared here is results-focused, talking about some of the data and dataset-level issues that a tool using data-centric AI algorithms can automatically find in ImageNet, which we used as a case study. Happy to answer any questions about the post or data-centric AI in general here!
P.S. all of our core algorithms are open-source, in case any of you are interested in checking out the code: https://github.com/cleanlab/cleanlab
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Enhancing Product Analytics and E-commerce Business
Cleanlab Studio offers a user-friendly interface that allows you to visualize and review the identified issues in your dataset. You can easily explore the detected errors and make corrections with confidence. It's a hassle-free solution that can save you valuable time and improve your overall e-commerce operations. If you'd like more details you can check this article out.
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Databricks users can now automatically correct data and improve ML models
I thought this community might find it very useful that Databricks has partnered with Cleanlab to bring automated data correction and ML model improvement for both structured and unstructured datasets to all Databricks users.
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[R] Automated Checks for Violations of Independent and Identically Distributed (IID) Assumption
I just published a paper detailing this non-IID check and open-sourced its code in the cleanlab package — just one line of code will check for this and many other types of issues in your dataset.
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[P] Datalab: A Linter for ML Datasets
I recently published a blog introducing Datalab and an open-source Python implementation that is easy-to-use for all data types (image, text, tabular, audio, etc). For data scientists, I’ve made a quick Jupyter tutorial to run Datalab on your own data.
AFFiNE
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Are we making the best notion open source alternative?
Also has a self-hosted version however it’s a bit out of date with their SaaS product
https://github.com/toeverything/AFFiNE#self-host
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Quasi Self-Hosted Quasi Open Source Notion Alternatives from Asia (SiYuan, Affine, AppFlowy)
Affine.Pro - MPL Licensed - their unique selling point is the ability to switch between text and whiteboard view for the same page: https://github.com/toeverything/AFFiNE
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Tell HN: Nearly all of Evernote’s remaining staff has been laid off
3. Affine: https://github.com/toeverything/AFFiNE
- Write, Draw, and Plan All at Once
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Zotero Better Notes – Knowledge management solution insid}e Zotero
there's also this project that takes on that space, previously featured on HN but has made significant progress lately:
https://github.com/toeverything/AFFiNE
- Miro - MindMap Software Selfhosted Alternatives?
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Anything you wish there was an open source solution for?
AFFiNE could end up there at some point. It's a web app so technically it should work on mobile, but I'm not sure how the user experience would be there.
- Is there a deep Notion alternative that includes both 1. thorough 'notion-database'-like functionality (Airtable or postgres or similarly backed) and 2. excellent integration/embed support for other apps and services?
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which program should i use for this workflow?
any new idea or feature request welcome to submit to our Github and also welcome to contact me if you want~!
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Hi Community, AFFiNE with new website and client is coming(support for whiteboard and collaboration!
After our last release to here, we have refactored all of our code, redesigned our new logo and new official website, and happy to announce that the client has also been ready to be downloaded and have a try.
What are some alternatives?
alibi-detect - Algorithms for outlier, adversarial and drift detection
AppFlowy - AppFlowy is an open-source alternative to Notion. You are in charge of your data and customizations. Built with Flutter and Rust.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
siyuan - A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
Outline - The fastest knowledge base for growing teams. Beautiful, realtime collaborative, feature packed, and markdown compatible.
labelflow - The open platform for image labelling
logseq - A local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base. Use it to organize your todo list, to write your journals, or to record your unique life.
karateclub - Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
focalboard - Focalboard is an open source, self-hosted alternative to Trello, Notion, and Asana.
SSL4MIS - Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
notea - 📒 Self hosted note taking app stored on S3