Open source

A(G)I for everyone

Take the lead with our AI services and custom solutions uniquely designed to disrupt traditional business models through trustworthy and secure technologies. We help you to design your AI strategy & roadmap and build your AI solution with a focus on sovereign, compliant & trustworthy AI.

Fondant

Production-ready data processing made easy and shareable

Fondant aims to become the open-source hub for people to share and reuse data processing components and data pipelines. Today, Fondant is being used for a multitude of use cases, such as multimodal RAG and multi-agent workflows. In the future, Fondant will empower users to prepare data for AGI solutions.

Visit our website page and start testing and contributing to Fondant!

Connexion

Connexion is the Python web framework that enables you to build API-first. We have been maintaining it since 2021, working towards a major 3.0 release. With around 5 million downloads per month, it is a staple of the Python API ecosystem.

Connexion Docs

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Connexion Repository

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Why we decided to help maintain connexion

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Apache Beam

Apache Beam is a framework for unified batch and streaming pipelines, which is mostly known as the framework underlying Google Cloud Dataflow, but can be run on almost any distributed processing backend such as Apache Flink or Spark. We have ported Apache Beam to Python 3, added ML inference functionality, and created a lot of content for the community.

Apache Beam Blogpost

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Apache Beam AI/ML Docs

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Apache Beam Repo

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Hugging face

We leverage Hugging Face a lot in our solutions, but we also contribute back. We have published models, datasets, and demos for the community. Check our space for more.

German Toxic Comment Detection

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Dynamic Pricing

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Semantic Search Demo

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Terms & Conditions Summarizer

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Logo Generator

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GitHub

Github is the home for all our open source code projects. Check our Github page for an overview of all our repositories.

Explainable transformers using SHAP

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Neural Keyword Extraction

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Text Augmentation using large-scale LMs and prompt engineering

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Gender debaising of datasets using CDA

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GPT2 Quantization using ONNXRuntime

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Vertex AI TensorBoard alternative for smaller budgets

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