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5 open-source automl tools to kick-start your next machine learning project

In this article we would like to introduce you to AutoML, what it is and when to use it. You'll also find out more about cool, open-soure AutoML tools!
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Beautiful UIs with Figma and Tailwind
How to build UIs that will make users go "wow".
Hello, open-source world!
We're releasing Kern AI refinery on GitHub to contribute to the development of data-centric AI.
10x your active learning via active transfer learning in NLP
Automatically label records of high prediction confidence and pick those records for manual labeling that have low prediction confidence.
How refinery differentiates from existing labeling environments
If VS code had a data-centric sibling, what would it look like?
How to engineer prompts for Zero-Shot modules
Using large-scale pre-trained language models, you can make surprisingly good predictions for many tasks without any labeled data
Getting started with automl docker
We've recently launched šŸ³ automl-docker, a tool that allows you to build natural language classifiers quickly.
6 (+1) types of heuristics to automate your labeling process
Let's look into typical labeling functions you can implement for weak supervision.
Automated and denoised labels for NLP with weak supervision
Weak Supervision is a technique that enables Data Scientists to create large-scale, denoised labels for training data using heuristics.
5 open-source automl tools to kick-start your next machine learning project
In this article we would like to introduce you to AutoML, what it is and when to use it. You'll also find out more about cool, open-soure AutoML tools!

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