An end to end machine learning project implementation with mlflow and DVC
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Updated
May 28, 2024 - Jupyter Notebook
An end to end machine learning project implementation with mlflow and DVC
Chocolatey package for dvc
MLOps – HSE MMLDS 23/24 [python service for training and inferring Catboost classification model on Iris dataset]
Testing Data Version Control Open-Source ML Pipeline Automation
Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.
Machine learning experiment tracking and data versioning with DVC extension for VS Code
Teaching materials for the cusy training courses on Python-based data science workflows: https://cusy.io/en/seminars
end to end classification project , to check whether chicken is healthy or affeccted with coccidiosis based on chicken fecal image collected , Model used - VGG16
📈 Log and track ML metrics, parameters, models with Git and/or DVC
This repository contains implemenation of a data science project to predict stock price.
⚗️ YOLOv7 trained on MSCOCO for object detection managed by DVC
⚗️ Llava 13b model repository trained by liuhaotian managed by DVC
⚗️ Stable Diffusion XL model repository based on HuggingFace SDXL 1.0 managed by DVC
⚗️ Zephyr 7b model repository trained by HuggingFaceH4 managed by DVC
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