https://github.com/trishthakur/scalable-fine-tuning-framework-
A scalable GCP framework for fine-tuning models with a Streamlit UI for hyperparameter tuning, GPU-powered training, and RESTful API integration for model deployment in pipelines
https://github.com/trishthakur/scalable-fine-tuning-framework-
cloud-based-model-management cloud-computing gcp gpu gpu-accelerated-training restful-api streamlit
Last synced: 9 months ago
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A scalable GCP framework for fine-tuning models with a Streamlit UI for hyperparameter tuning, GPU-powered training, and RESTful API integration for model deployment in pipelines
- Host: GitHub
- URL: https://github.com/trishthakur/scalable-fine-tuning-framework-
- Owner: trishthakur
- License: mit
- Created: 2024-12-23T09:42:39.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-23T09:50:31.000Z (over 1 year ago)
- Last Synced: 2025-05-14T22:41:54.186Z (about 1 year ago)
- Topics: cloud-based-model-management, cloud-computing, gcp, gpu, gpu-accelerated-training, restful-api, streamlit
- Homepage:
- Size: 1.95 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Scalable Fine Tuning Framework
A scalable, cloud-based framework for fine-tuning MobileNet models, allowing users to customize hyperparameters, train on GPU-powered VMs, and integrate models into pipelines via RESTful APIs; access to fine-tuned models and training metrics as wel