Kern AI

automl-docker

CLI-based tool to automatically build ML models from training data into a servable Docker container

bricks

Open-source natural language enrichments at your fingertips.

embedders

With embedders, you can easily convert your texts into sentence- or token-level embeddings within a few lines of code. Use cases for this include similarity search between texts, information extraction such as named entity recognition, or basic text classification.

refinery

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

refinery-neural-search

Neural search for refinery. Manages similarity search powered by Qdrant and outlier detection, both based on vector representations of the project records.

refinery-python-sdk

Official Python SDK for Kern AI refinery.

refinery-sample-projects

Containing examples of projects you can use to test refinery. Please select the use case from the branches.

sequence-learn

With sequence-learn, you can build models for named entity recognition as quickly as if you were building a sklearn classifier.

twitter-issues-classifier

Since the twitter algorithm has been open-sourced, the issues section of their repository is being polluted. Let's try to fix that.

weak-nlp

With weak-nlp, you can integrate heuristics like labeling functions and active learners based on weak supervision. Automate data labeling and improve label quality.

code-kern-ai/refinery

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

code-kern-ai/bricks

Open-source natural language enrichments at your fingertips.

code-kern-ai/automl-docker

CLI-based tool to automatically build ML models from training data into a servable Docker container

code-kern-ai/twitter-issues-classifier

Since the twitter algorithm has been open-sourced, the issues section of their repository is being polluted. Let's try to fix that.

code-kern-ai/refinery-sample-projects

Containing examples of projects you can use to test refinery. Please select the use case from the branches.

code-kern-ai/sequence-learn

With sequence-learn, you can build models for named entity recognition as quickly as if you were building a sklearn classifier.

code-kern-ai/embedders

With embedders, you can easily convert your texts into sentence- or token-level embeddings within a few lines of code. Use cases for this include similarity search between texts, information extraction such as named entity recognition, or basic text classification.

code-kern-ai/weak-nlp

With weak-nlp, you can integrate heuristics like labeling functions and active learners based on weak supervision. Automate data labeling and improve label quality.

code-kern-ai/chatgpt-webinar-entwickler.de

code-kern-ai/docs-chatbot-demo

This is a demo of how we can leverage embeddings and LLMs to quickly build a chatbot so you can "chat" with a documentation.

code-kern-ai/refinery-ui-angular

UI for refinery. Used to interact with the whole system; to find out how to best work with the UI, check out our docs.

code-kern-ai/.github

code-kern-ai/rag-webinar-entwickler.de

code-kern-ai/refinery-submodule-s3

S3 related AWS and Minio logic.

code-kern-ai/refinery-template-functions

Overview of recurring functions you can use for your projects

code-kern-ai/alfred

Controls the start process of the refinery app. Named after Batman's butler Alfred.

code-kern-ai/refinery-doc-ock

Usage statistics collection for refinery. If users allow it, this collects product insight data used to optimize the user experience.

code-kern-ai/hosting

Only used for documentation

code-kern-ai/refinery-entry-handlebars

Login and registration screen for refinery. Implemented via Ory Kratos.

code-kern-ai/refinery-parent-images

code-kern-ai/submodule-tailwind-config

code-kern-ai/util-scripts