SciLifeLab Serve (beta) is a platform offering machine learning model serving, app hosting, web-based integrated development environments, and other tools to life science researchers affiliated with a Swedish research institute.
Machine Learning model serving
Deploy your trained models and obtain API endpoints for inference requests. We support deployment of models packaged as Docker images.
ML model demo apps
Share web apps with a graphical user interface to allow users to make inferences with custom input. We support apps built using Gradio, Streamlit, Flask, FastAPI, etc.
Data and analysis apps
Share web apps with interactive visualisations, analyses, text, tables, etc. We support apps built using R Shiny, Plotly Dash, etc.
Recent updates
Dashboard plotting the number of people in Sweden aged 0-19 who have have filled a prescription for…
Explores interpretability for chest X-ray pathology predictions using methods—Grad-CAM, LIME, SHAP,…
MMAtt-DTA: MultiModal Attention Drug-Target Affinity prediction
Suite of data science tools build by Fraunhofer ITMP
starbase is a database and toolkit for exploring of large transposable elements in Fungi
PK Predictor is an open-source app framework built specifically for predicting human and animal PK …
Collections
Collections are groups of apps and models published on SciLifeLab Serve belonging to a research community, organization, or topic. Start a new collection?
