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GitHub / bhuvaneshprasad / End-to-End-SETI-Classification-using-CNN-MLFlow-DVC

An End-to-End Deep Learning project for classifying SETI signals using Convolutional Neural Networks (CNNs), MLFlow and DVC.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bhuvaneshprasad%2FEnd-to-End-SETI-Classification-using-CNN-MLFlow-DVC

Stars: 0
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 53.3 MB
Dependencies parsed at: Pending

Created at: 10 months ago
Updated at: 10 months ago
Pushed at: 10 months ago
Last synced at: 10 months ago

Topics: convolutional-neural-networks, dagshub, data-science, deep-learning, dvc, extraterrestrial, fastapi, image-classification, inceptionv3, mlflow, neural-network, python, seti, streamlit, tensorflow

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