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GitHub / JatinSingh28 / Medical-MNIST-MLOPs-CT-CD
This project integrates Airflow, EC2, MLFlow, and MLOps principles to deploy a robust pipeline for classifying medical MNIST images. Streamlit enables user-friendly image uploads, MLFlow handles model registry and inference, while Airflow automates data updates and model retraining on AWS EC2.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JatinSingh28%2FMedical-MNIST-MLOPs-CT-CD
Stars: 0
Forks: 0
Open Issues: 0
License: mit
Language: Python
Repo Size: 351 MB
Dependencies:
258
Created: 25 days ago
Updated: 17 days ago
Last pushed: 17 days ago
Last synced: 17 days ago
Topics: airflow, aws, continuous-deployment, continuous-training, ec2-instance, mlflow, mlops
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Dependencies
requirements.txt
pypi
- Babel ==2.14.0
- ConfigUpdater ==3.2
- Deprecated ==1.2.14
- Flask ==2.2.5
- Flask-AppBuilder ==4.4.1
- Flask-Babel ==2.0.0
- Flask-Caching ==2.1.0
- Flask-JWT-Extended ==4.6.0
- Flask-Limiter ==3.5.1
- Flask-Login ==0.6.3
- Flask-SQLAlchemy ==2.5.1
- GitPython ==3.1.43
- Jinja2 ==3.1.3
- Mako ==1.3.2
- Markdown ==3.6
- MarkupSafe ==2.1.5
- PyJWT ==2.8.0
- PyYAML ==6.0.1
- SQLAlchemy ==1.4.52
- SQLAlchemy-JSONField ==1.0.2
- SQLAlchemy-Utils ==0.41.2
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- aiohttp ==3.9.3
- aiosignal ==1.3.1
- alembic ==1.13.1
- altair ==5.3.0
- amqp ==5.2.0
- aniso8601 ==9.0.1
- anyio ==4.3.0
- apache-airflow ==2.9.0
- apache-airflow-providers-celery ==3.6.1
- apache-airflow-providers-common-io ==1.3.0
- apache-airflow-providers-common-sql ==1.11.1
- apache-airflow-providers-fab ==1.0.2
- apache-airflow-providers-ftp ==3.7.0
- apache-airflow-providers-http ==4.10.0
- apache-airflow-providers-imap ==3.5.0
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- apache-airflow-providers-sqlite ==3.7.1
- apispec ==6.6.0
- appdirs ==1.4.4
- argcomplete ==3.2.3
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- asttokens ==2.4.1
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- huggingface-hub ==0.22.2
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- nvidia-nvtx-cu11 ==11.8.86
- opentelemetry-api ==1.24.0
- opentelemetry-exporter-otlp ==1.24.0
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- opentelemetry-semantic-conventions ==0.45b0
- ordered-set ==4.1.0
- packaging ==24.0
- pandas ==2.2.2
- parso ==0.8.4
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- pendulum ==3.0.0
- pexpect ==4.9.0
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- pyarrow ==15.0.2
- pycparser ==2.22
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- regex ==2024.4.28
- requests ==2.31.0
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- rfc3986 ==1.5.0
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- smmap ==5.0.1
- sniffio ==1.3.1
- sqlparse ==0.4.4
- stack-data ==0.6.3
- streamlit ==1.33.0
- sympy ==1.12
- tabulate ==0.9.0
- tasklib ==2.5.1
- tenacity ==8.2.3
- termcolor ==2.4.0
- text-unidecode ==1.3
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- time-machine ==2.14.1
- tokenizers ==0.19.1
- toml ==0.10.2
- toolz ==0.12.1
- torch ==2.3.0
- torchmetrics ==1.3.2
- torchvision ==0.18.0
- tornado ==6.4
- tqdm ==4.66.2
- traitlets ==5.14.3
- transformers ==4.40.1
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- uc-micro-py ==1.0.3
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- universal-pathlib ==0.2.2
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- urwid ==2.6.11
- vine ==5.1.0
- watchdog ==4.0.0
- wcwidth ==0.2.13
- webencodings ==0.5.1
- wrapt ==1.16.0
- wtforms ==3.1.2
- yarl ==1.9.4
- zipp ==3.18.1