Open source platform for the machine learning lifecycle
-
Updated
Jun 14, 2024 - Python
Open source platform for the machine learning lifecycle
Natural Language Processing Best Practices & Examples
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3
A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.
Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
Make GNN easy to start with
In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits
Example machine learning pipeline with MLflow and Hydra
Projects developed by Domino's R&D team
Sync your ML data with your favorite productivity tools!
ML Ops Accelerator: Databricks & Azure Machine Learning Unification
an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery
Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit
Add a description, image, and links to the mlflow topic page so that developers can more easily learn about it.
To associate your repository with the mlflow topic, visit your repo's landing page and select "manage topics."