automl-docker
refinery-sample-projects
| automl-docker | refinery-sample-projects | |
|---|---|---|
| 3 | 3 | |
| 52 | 24 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | 9 months ago | |
| Python | ||
| Apache License 2.0 | 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.
automl-docker
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Build your own stock sentiment classifier with Kern Refinery (video series)
Repository for automl-docker to build a machine learning/ sentiment classifier.
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5 open-source automl tools to kick-start your next machine learning project
Check out our free tool here.
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AutoML-docker has been launched
To learn more about our autoML tool check out our GitHub 👉🏼 https://github.com/code-kern-ai/automl-docker
refinery-sample-projects
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How to fine-tune your embeddings for better similarity search
This blog post will share our experience with fine-tuning sentence embeddings on a commonly available dataset using similarity learning. We additionally explore how this could benefit the labeling workflow in the Kern AI refinery. To understand this post, you should know what embeddings are and how they are generated. A rough idea of what fine-tuning is also helps. All the code and data referenced in this post is available on GitHub.
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Build your own stock sentiment classifier with Kern Refinery (video series)
Repository of the sample use case for the UI elements (optional).
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Show HN: If VS Code had a data-centric IDE sibling, what would that look like?
Hey, I'm Johannes - one of the maintainers of refinery. Thanks Jonathan for sharing!!
Would be super excited if you guys have any feedback. It's nowhere near perfect yet, but you can already use it to build some great data-centric use cases. Amongst others for sentiment analysis, conversational AI or finetuning of your embeddings (which you can check out here: https://github.com/code-kern-ai/refinery-sample-projects).
Let me know what you think :)
What are some alternatives?
small-text - Active Learning for Text Classification in Python
refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
kern-automl-blog
azuredatastudio - Azure Data Studio is a data management and development tool with connectivity to popular cloud and on-premises databases. Azure Data Studio supports Windows, macOS, and Linux, with immediate capability to connect to Azure SQL and SQL Server. Browse the extension library for more database support options including MySQL, PostgreSQL, and MongoDB.
Owlie - Owlie est un chatbot de soutien psychologique gratuit, disponible 24h/24 et 7j/7
obsei - Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
Resume-Matcher - Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python