Topic: "mlflow-projects"
Azure-Samples/azure-databricks-mlops-mlflow
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
Language: Jupyter Notebook - Size: 3.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 84 - Forks: 53
alfozan/mlflow-example
This repository provides an example of dataset preprocessing, GBRT (Gradient Boosted Regression Tree) model training and evaluation, model tuning and finally model serving (REST API) in a containerized environment using MLflow tracking, projects and models modules.
Language: Jupyter Notebook - Size: 6.95 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 18
fuseml/examples
A collection of machine learning projects serving as sample applications that can be deployed with FuseML.
Language: Python - Size: 81.3 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 5
felix-exel/mlflow
MLflow example to track Parameters and Metrics by using MLproject Functionality
Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1
AnasAber/MLflow_with_RAG
Using MLflow to deploy your RAG pipeline, using LLamaIndex, Langchain and Ollama/HuggingfaceLLMs/Groq
Language: Python - Size: 60.7 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1
at0m-b0mb/Mlflow-TensorFlow-Image-Classification-Guide
The MLflow TensorFlow Guide is an educational project. This project demonstrates how to build, train, and manage a TensorFlow machine learning model using MLflow, a powerful open-source platform for the end-to-end machine learning lifecycle.
Language: Jupyter Notebook - Size: 2.75 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
VineetKT/genre_classification
ML model building using Mlflow workflow for en-to-end development.
Language: Python - Size: 21.5 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
mr-ravin/auto_mlflow 📦
Auto MLFlow is an open-source automated MLOps library for MLFlow in Python. While MLFlow provides a UI for tracking experiments, Auto MLFlow automates and simplifies the logging process, reducing manual effort and ensuring seamless integration with ML workflows.
Language: Python - Size: 44.9 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
WizKnight/MLFlow-Implementation
ML Flow Experiments
Language: Python - Size: 80.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
aganse/py_tf2_gpu_dock_mlflow
Get new Python/Tensorflow/GPU models running quickly, logging performance and resulting model in MLflow, keeping everything in Docker via MLflow Projects. (Malaria TF dataset example.)
Language: Python - Size: 1.92 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
nasserboan/mlflow-pydata-talk
PyData BSB code exploring and demonstrating the MLFlow projects functionality and how to used for experiment and run tracking.
Language: Jupyter Notebook - Size: 67 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
marinaramalhete/Learning-MLOps
My learning about MLOps
Language: Jupyter Notebook - Size: 28.3 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1
