swiss-ai-center Goto Github PK
Name: Swiss AI Center
Type: Organization
Location: Switzerland
Name: Swiss AI Center
Type: Organization
Location: Switzerland
A special repository that sets the GitHub organization profile README.
A simple yet complete guide to MLOps tools and practices - from a conventional way to a modern approach of working with ML projects.
Anomaly detection of a time series with an autoencoder.
Service that returns the average shade of an image.
Web interface to chat with LLMs served by ollama
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.
This repository contains a minimal reproducible example to illustrate a bug occuring with CML and Kubernetes using a GitHub Actions Runner
This repository demonstrates the usage of CML with Terraform Provider Iterative from sources
This repo contains the common code between services and the core engine. It is installed as a python package.
The core engine orchestrating all the Swiss AI Center services.
This repository contains the Python + FastAPI template to create a service without a model or from an existing model.
This repository contains the Python + FastAPI template to create a service with a model built from scratch.
Service that recognizes a digit in an image using mnist trained model.
Djl interface adapter to SAM
Service to vectorize documents into a FAISS vectorstore.
The Swiss AI Center project documentation.
This service will analyse a black and white doodle and guess what have been drawn.
A Dreambooth example using MLOps tools and practices
Service that analyzes the faces in images.
Service that detects faces in images and returns the coordinates of the bounding boxes.
GISCUP 2023 submission
Diving into Supraglacial Lakes Detection: a Deep Semantic Segmentation Approach
GISCUP 2023 submission
The service is used to query image-to-text AI models from the Hugging Face inference API.
A service that uses the Hugging Face inference API to directly query AI models
The service is used to query text-to-audio AI models from the Hugging Face inference API.
The service is used to query text-to-image AI models from the Hugging Face inference API.
The service is used to query text-to-text AI models from the Hugging Face inference API.
Service that analyzes images. Returns metadata information about the image.
Service that blurs the image in the given areas.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.