Mage
layerx-community
| Mage | layerx-community | |
|---|---|---|
| 77 | 3 | |
| 7,050 | 16 | |
| 3.5% | - | |
| 9.9 | 0.0 | |
| 7 days ago | about 2 years ago | |
| Python | TypeScript | |
| Apache License 2.0 | 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.
Mage
- FLaNK AI-April 22, 2024
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A mage on the Hero’s Journey: a fantasy epic on how a startup rose from the ashes
In the coming years, Mage will create a cooperative experience so that developers can build data pipelines with their team and level up together. After that journey, Mage will go on an epic quest to create the 1st open world community experience in the data universe.
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Data sources episode 2: AWS S3 to Postgres Data Sync using Singer
Link to original blog: https://www.mage.ai/blog/data-sources-ep-2-aws-s3-to-postgres-data-sync-using-singer
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What are some open-source ML pipeline managers that are easy to use?
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home
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Mage Battlegrounds: Craft insights from real-time customer behavior analysis
You're invited to participate in the very first Mage Battlegrounds: Craft insights from real-time customer behavior analysis, a 24-hour virtual hackathon hosted by Shashank Mishra! This data engineering competition will take place on Saturday, April 15, 2023 beginning at 11am (PST). This will be a global event open to all participants who register.
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Looking for an open-source project
Try this feature: https://github.com/mage-ai/mage-ai/issues/1166
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Daskqueue: Dask-based distributed task queue
Seeing if we can use it in https://github.com/mage-ai/mage-ai
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Data Pipeline on a Shoestring
That being said there’s a solid family of services just breaking ground that make the local pipeline deployment easier (check out https://www.mage.ai, which does have a clear path to cloud deployment of locally developed pipes, it just isn’t well documented yet, and also https://www.neuronsphere.io - which doesn’t have a public solution YET (they’re internally testing an alpha) but they built a cloud deployable solution for their paying customers and working to release one for freemium use)
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Trending ML repos of the week 📈
7️⃣ mage-ai/mage-ai
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Delta without using Spark
Yes, check out how Mage does it: https://github.com/mage-ai/mage-ai/tree/master/mage_integrations/mage_integrations/destinations/delta_lake_s3
layerx-community
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Free AI assisted image labelling tool
I'm working on this open-source project. You can use it and I can help you to setup. https://github.com/LayerX-AI/layerx-community
- LayerX: A Toolset for Computer Vision Teams
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What are the standard ways to visualise, clean and manage the large image datasets?
This is exactly missing feature in most tools. We collect so much video and image data, but you don't need all of them for labeling and then training. So data cleaning should happen before labeling. Try https://github.com/LayerX-AI/layerx-community and give us feedback. Data cleaning feature is coming in soon.
What are some alternatives?
dagster - An orchestration platform for the development, production, and observation of data assets.
DarkMark - Marking up images for use with Darknet.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
vscode-dvc - Machine learning experiment tracking and data versioning with DVC extension for VS Code
django-labeller - An image labelling tool for creating segmentation data sets, for Django and Flask.
sqlmesh - Efficient data transformation and modeling framework that is backwards compatible with dbt.
xtreme1 - Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
mito - The mitosheet package, trymito.io, and other public Mito code.
nsfw-filter - A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TypeScript and TensorFlow.js.
Data-Science-Roadmap - Data Science Roadmap from A to Z
nfstream - NFStream: a Flexible Network Data Analysis Framework.