diffgram
active_learning
Our great sponsors
diffgram | active_learning | |
---|---|---|
9 | 1 | |
1,796 | 52 | |
1.3% | - | |
8.8 | 1.8 | |
9 days ago | over 2 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
diffgram
- Open source tool scrapes git commit email addresses to send spam to.
- Open Source Training Data – Diffgram
- Open Source Data Annotation - Diffgram
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[D] Labelbox threatens to sue small open-source startup Diffgram
As a few examples of how much depth we have considered, here's a detailed comparison with sagemaker. Part of an integration with scale. Part of code for labelbox integration, datasaur (scroll to trusted by for our logo) etc. To the best of my knowledge I am trying to track every firm that is in this direct space.
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[P] 😃🎉 Open source AI/ML data annotation platform for free [Product Hunt]
(Direct repo link https://github.com/diffgram/diffgram)
- Open Source AI Data Annotation 2.0 (Source Code)
- Open Source AI Data Annotation 2.0
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[P] Diffgram - Open Annotation Platform
We list some benefits here but if I had to pick one thing, it's that it's a complete system. You can be up and running in 2 minutes on docker. And scale to "big tech co" level on multiple k8s clusters.
- Show HN: Open Core Diffgram (GitHub)
active_learning
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Active Learning at the ImageNet Scale
Code: https://github.com/zeyademam/active_learning
What are some alternatives?
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
modAL - A modular active learning framework for Python
awesome-data-labeling - A curated list of awesome data labeling tools
lightly - A python library for self-supervised learning on images.
VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
adaptive - :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
dataqa - Labelling platform for text using weak supervision.
hover - :speedboat: Label data at scale. Fun and precision included.
auto_annotate - Labeling is boring. Use this tool to speed up your next object detection project!
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
bbox-visualizer - Make drawing and labeling bounding boxes easy as cake
dataset-viewer - Lightweight web API for visualizing and exploring any dataset - computer vision, speech, text, and tabular - stored on the Hugging Face Hub