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https://github.com/mafda/ml_with_fastapi_and_streamlit
Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker
https://github.com/mafda/ml_with_fastapi_and_streamlit
classification-model data-science data-visualization docker docker-compose dockerfile fastapi huggingface machine-learning ml-app mnist-classification pretrained-models streamlit streamlit-application
Last synced: about 2 hours ago
JSON representation
Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker
- Host: GitHub
- URL: https://github.com/mafda/ml_with_fastapi_and_streamlit
- Owner: mafda
- Created: 2022-05-18T00:47:06.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-04-12T13:57:30.000Z (over 1 year ago)
- Last Synced: 2024-04-20T20:53:45.895Z (7 months ago)
- Topics: classification-model, data-science, data-visualization, docker, docker-compose, dockerfile, fastapi, huggingface, machine-learning, ml-app, mnist-classification, pretrained-models, streamlit, streamlit-application
- Language: Python
- Homepage:
- Size: 32 MB
- Stars: 19
- Watchers: 1
- Forks: 5
- Open Issues: 0