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Swiss AI Center

README.md

Swiss AI Center

🌍 Website · 📚 Documentation · 📦 Application · ♾️ A guide to MLOps

The mission of the Swiss AI Center is to accelerate the adoption of artificial intelligence in the digital transition of Swiss SMEs. The associated socio-economic challenge is to increase their competitiveness, limit relocation and create new skills at the interface between laboratories and the practical use of artificial intelligence. - Swiss AI Center website

You can find all the projects we manage in the official documentation at https://docs.swiss-ai-center.ch/reference/.

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  1. documentation documentation Public

    The Swiss AI Center project documentation.

    Dockerfile 1

  2. core-engine core-engine Public

    The core engine orchestrating all the Swiss AI Center services.

    Python 6 1

  3. common-code common-code Public

    This repo contains the common code between services and the core engine. It is installed as a python package.

    Python 1

  4. a-guide-to-mlops a-guide-to-mlops Public

    A simple yet complete guide to MLOps tools and practices - from a conventional way to a modern approach of working with ML projects.

    Dockerfile 28 1

  5. create-a-new-service-generic-template create-a-new-service-generic-template Public template

    This repository contains the Python + FastAPI template to create a service without a model or from an existing model.

    Python 1

  6. create-a-new-service-model-from-scratch-template create-a-new-service-model-from-scratch-template Public template

    This repository contains the Python + FastAPI template to create a service with a model built from scratch.

    Python

Repositories

Showing 10 of 63 repositories
  • layout-analysis-service Public

    Layout Analysis Service detect part of an image-based document using PP-PicoDet.

    swiss-ai-center/layout-analysis-service’s past year of commit activity
    Python 0 0 0 0 Updated Nov 20, 2024
  • ts-anomaly-detection-service Public

    Service that performs anomaly detection on unseen time series (zero shot) using the Moment foundation model

    swiss-ai-center/ts-anomaly-detection-service’s past year of commit activity
    Python 0 0 0 0 Updated Nov 20, 2024
  • urban-sound-classifier-service Public

    This service classifies urban sounds

    swiss-ai-center/urban-sound-classifier-service’s past year of commit activity
    Python 0 0 0 0 Updated Nov 20, 2024
  • text-recognition-ocr-service Public

    Service that performs optical text recognition (OCR) on animage and returns a JSON file with the detected text and bounding boxes,

    swiss-ai-center/text-recognition-ocr-service’s past year of commit activity
    Python 0 0 0 0 Updated Nov 20, 2024
  • summarization-service Public

    This service uses langchain and LLMs to create summaries of documents.

    swiss-ai-center/summarization-service’s past year of commit activity
    Python 0 0 0 0 Updated Nov 20, 2024
  • ai-days-website Public

    Repository containing the website for the AI Days

    swiss-ai-center/ai-days-website’s past year of commit activity
    TypeScript 0 0 0 0 Updated Nov 20, 2024
  • doc-orientation-detector-service Public

    Detects if a scanned document is upside down

    swiss-ai-center/doc-orientation-detector-service’s past year of commit activity
    Python 0 0 0 0 Updated Nov 20, 2024
  • class-rebalancing-service Public

    This service uses rebalances a dataset based on a target class, it combines oversampling (SMOTE) and undersampling (ENN) to be more generalizable. In order for the service to work your dataset label column must be called "target". Finally, avoid having multiple empty lines at the end of the file.

    swiss-ai-center/class-rebalancing-service’s past year of commit activity
    Python 0 0 0 0 Updated Nov 20, 2024
  • classification-benchmark-service Public

    This service benchmarks a dataset with various models and outputs the results sorted by accuracy. In order for the service to work your dataset label column must be called "target". Also to improve the results you may want to remove uneccessary columns from the dataset. Finally, avoid having multiple empty lines at the end of the file.

    swiss-ai-center/classification-benchmark-service’s past year of commit activity
    Python 0 0 0 0 Updated Nov 20, 2024
  • hugging-face-service Public

    A service that uses the Hugging Face inference API to directly query AI models

    swiss-ai-center/hugging-face-service’s past year of commit activity
    Python 0 0 1 0 Updated Nov 20, 2024
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