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/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/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.

code-kern-ai/refinery-submodule-model

Data model for refinery. Manages entities and their access for multiple services, e.g. the gateway.

code-kern-ai/refinery-embedder

Embedder for refinery. Manages the creation of document- and token-level embeddings using the embedders library.

code-kern-ai/refinery-entry

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

code-kern-ai/refinery-gateway

Gateway for refinery. Manages incoming requests and holds the workflow logic. To interact with the gateway, the UI or Python SDK can be used.

code-kern-ai/refinery-submodule-parent-images

Submodule which contains the requirements of the different parent images of refinery.

code-kern-ai/refinery-submodule-s3

S3 related AWS and Minio logic.

code-kern-ai/refinery-tokenizer

Tokenizer for refinery. Manages the creation and storage of spaCy tokens for text-based record attributes and supports multiple language models. It is used by the gateway.

code-kern-ai/refinery-ui

code-kern-ai/cicd-deployment-scripts

Scripts used for Kern AI CI/CD efforts

code-kern-ai/cognition-pdf2md

A PDF to Markdown converter

code-kern-ai/refinery-ac-exec-env

Execution environment for attribute calculation in refinery. Containerized function as a service to build custom attributes derived from the original data.

code-kern-ai/refinery-authorizer

Evaluates whether a user has access to certain resources.

code-kern-ai/refinery-common-parent-image

Defines parent image for the Docker images of the refinery services which require the integration of the model and the s3 submodule.

code-kern-ai/refinery-exec-env-parent-image

Defines parent image for the Docker images of the refinery services which provide an execution environment.

code-kern-ai/refinery-gateway-proxy

Gateway proxy for refinery. Manages incoming requests and forwards them to the gateway. Used by the Python SDK.

code-kern-ai/refinery-lf-exec-env

Execution environment for labeling functions in refinery. Containerized function as a service to execute user-defined Python scripts.

code-kern-ai/refinery-mini-parent-image

Defines parent image for the Docker images of the refinery services with the smallest set of requirements.

code-kern-ai/refinery-ml-exec-env

Execution environment for the active learning module in refinery. Containerized function as a service to build active learning models using scikit-learn and sequence-learn.

code-kern-ai/refinery-next-parent-image

code-kern-ai/refinery-torch-cpu-parent-image

Defines parent image for the Docker images of the refinery services that require torch (cpu).

code-kern-ai/refinery-torch-cuda-parent-image

Defines parent image for the Docker images of the refinery services that require torch (gpu).

code-kern-ai/refinery-updater

Updater for refinery. Manages migration logic to new versions if required.

code-kern-ai/refinery-weak-supervisor

Weak supervision for refinery. Manages the integration of heuristics such as labeling functions, active learners or zero-shot classifiers. Uses the weak-nlp library for the actual integration logic and algorithms.

code-kern-ai/submodule-javascript-functions

code-kern-ai/submodule-react-components

code-kern-ai/submodule-tailwind-config