Comparsion_Segmentation_models VS opyrator

Compare Comparsion_Segmentation_models vs opyrator and see what are their differences.

Comparsion_Segmentation_models

Brief comparison of segmentation models. Trained on Collab, served using Fast-API, streamlit and dockerized. (by Ashish-Surve)
segmentation-models Streamlit fpn Unet comparsion Fastapi Docker
Source Code
frontend-seg-models.herokuapp.com
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opyrator

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more. (by ml-tooling)
Fastapi Streamlit Pydantic Python Microservices Serverless Faas Functions python-functions Machine Learning Deployment type-hints
Source Code
opyrator-playground.mltooling.org
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Comparsion_Segmentation_models opyrator
5 8
5 3,018
- 0.2%
3.2 0.0
over 3 years ago 11 days ago
Python Python
GNU General Public License v3.0 only MIT License
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Comparsion_Segmentation_models

Posts with mentions or reviews of Comparsion_Segmentation_models. We have used some of these posts to build our list of alternatives and similar projects.

opyrator

Posts with mentions or reviews of opyrator. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-26.

What are some alternatives?

When comparing Comparsion_Segmentation_models and opyrator you can also consider the following projects:

streamlit-pydantic - 🪄 Auto-generate Streamlit UI from Pydantic Models and Dataclasses.

odmantic - Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints

celery - Distributed Task Queue (development branch)

fastapi-redis-cache - A simple and robust caching solution for FastAPI that interprets request header values and creates proper response header values (powered by Redis)

streamlit-webrtc-example - Real time video and audio processing examples with Streamlit and streamlit-webrtc

pydantic-to-typescript - CLI Tool for converting pydantic models into typescript definitions

sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.

libsa4py - LibSA4Py: Light-weight static analysis for extracting type hints and features

component-template - Templates and example code for creating Streamlit Components

instant_api - Instantly create an HTTP API with automatic type conversions, JSON RPC, and a Swagger UI. Just add methods!

ActionServerless - Use GitHub Actions to create a Serverless service.

playground - A Streamlit application to play with machine learning models directly from the browser

opyrator vs streamlit-pydantic opyrator vs odmantic opyrator vs celery opyrator vs fastapi-redis-cache opyrator vs streamlit-webrtc-example opyrator vs pydantic-to-typescript opyrator vs sqlmodel opyrator vs libsa4py opyrator vs component-template opyrator vs instant_api opyrator vs ActionServerless opyrator vs playground