CKAN
CKAN | kaggle-environments | |
---|---|---|
7 | 55 | |
4,400 | 288 | |
1.5% | 1.0% | |
9.8 | 8.0 | |
2 days ago | about 1 month ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 or later | 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.
CKAN
- Open Source takes center stage at United Nations
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Open Source Flask-based web applications
CKAN The Open Source Data Portal Software
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Metadata Store - Which one to Choose ? OpenMetadata vs Datahub ?
We use Kubernetes as our deployment platform. Any feedback on one of these open source data catalogs ? - https://atlas.apache.org/#/ - https://opendatadiscovery.org/ - https://open-metadata.org/ - https://marquezproject.github.io/marquez/ - https://datahubproject.io/ - https://www.amundsen.io/ - https://ckan.org/ - https://magda.io/
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What 'tool' is used to build OpenData sites?
CKAN (https://ckan.org/) is what data.gov and most state governments use.
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Software and tools for (non-human) genomics data platform
Our first instinct is to use [CKAN](https://ckan.org) for cataloging (and storage, with modifications), especially since we know it and know that it has been used successfully elsewhere. However, we suspect that more specialized/better tools exist for this, thus why I kindly ask for your insights.
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How to start Data Science and Machine Learning Career?
Ckan
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We are digitisers at the Natural History Museum in London, on a mission to digitise 80 million specimens and free their data to the world. Ask us anything!
We publish all our data on the [Data Portal](https://data.nhm.ac.uk), a Museum project that's been running since 2014. Instead of MediaWiki it runs on an open-source Python framework called [CKAN](https://ckan.org), which is designed for hosting datasets - though we've had to adapt it in various ways so that it can handle such large amounts of data.
kaggle-environments
- Data Science Roadmap with Free Study Material
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Help needed! My first hackathon
If you are interested in Data Science, you may want to look at Kaggle competitions. https://www.kaggle.com/competitions
- What's a statistical / research methodology, that's not usually taught in grad programs, that you think more IO's should be aware about?
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Freaking out about how Iām inexperienced to land an internship and eventually a job
Secondly, if you feel like you do not have enough skills or a lack of practice answering problem statements, there are a lot of good websites where you can find interesting projects. I would recommend starting participating in some Kaggle competitions or download some free Google datasets and start playing with them.
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Capitalism provides half-assed solutions to extinction-level problems caused by capitalism
For reference: Kaggle is a Google product. You can see the list of current competitions here.
- Where can neural networks take me? - Semi-existential crisis
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What Can I Do With My Time as a Substitute for Strategy Computer Games?
You could try Kaggle competitions, or participating in forecasting markets (as you stated) is another option. You don't need any specific skill set to be a forecaster, the rules of the bet are stipulated and from there it's just based on your ability to predict the outcome. You could also try your hand at investing in the stock market, or try and make money betting on sports games. If you're very good at this stuff I'm sure you can make a lot of money doing it. The thing to keep in mind is that generally video games are much much easier than real life
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What is the best advanced professional certification for Data Science/ML/DL/MLOps?
As to the specifics of your projects, that's up to you. Try browsing Kaggle; check out some of the work we have on The Pudding; check out some journalism examples to see what you can try to build on or improve.
- Suggestions for projects on kaggle for cv?
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Hi! Im doing research on AI innovation. Does anybody know any specific platform where I can learn/understand and get case studies or on-going projects that companies are implementing? Thanks for your help!
You might want to look at kaggle competitions.
What are some alternatives?
ArchivesSpace - The ArchivesSpace archives management tool
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
ArchiveBox - š Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...
docarray - Represent, send, store and search multimodal data
Archivematica - Free and open-source digital preservation system designed to maintain standards-based, long-term access to collections of digital objects.
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Access to Memory (AtoM) - Open-source, web application for archival description and public access.
awesome-katas - A curated list of code katas
Collective Access: Providence - Cataloguing and data/media management application
datasci-ctf - A capture-the-flag exercise based on data analysis challenges
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows