GitHub - belajarqywok/fastapi-tensorflow-jaeger: Deployment of NLP (Natural Language Processing) and Image Recognition models using FastAPI Framework (RPC / RESTful API), Tensorflow, and Jaeger OpenTelemetry (Distributed Tracing).

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Deployment of NLP (Natural Language Processing) and Image Recognition models using FastAPI Framework (RPC / RESTful API), Tensorflow, and Jaeger OpenTelemetry (Distributed Tracing).

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Name		Name	Last commit message	Last commit date
Latest commit History 53 Commits
.github/workflows		.github/workflows
.vscode		.vscode
__pycache__		__pycache__
deployment		deployment
locust		locust
ml_models		ml_models
postman		postman
src		src
tests		tests
.dockerignore		.dockerignore
.env		.env
.flake8		.flake8
.gcloudignore		.gcloudignore
.gitignore		.gitignore
Makefile		Makefile
alembic.ini		alembic.ini
app.yaml		app.yaml
entrypoint.sh		entrypoint.sh
jaeger.py		jaeger.py
linux.requirements.txt		linux.requirements.txt
main.py		main.py
pyproject.toml		pyproject.toml
testing_image.sh		testing_image.sh
windows.requirements.txt		windows.requirements.txt

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Deployment of NLP (Natural Language Processing) and Image Recognition models using FastAPI Framework (RPC / RESTful API), Tensorflow, and Jaeger OpenTelemetry (Distributed Tracing).

tensorflow postgresql alembic flake8 distributed-tracing jaeger fastapi-framework