Open source platform for the machine learning lifecycle

Natural Language Processing Best Practices & Examples

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Koalas: pandas API on Apache Spark

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

Framework to bring LLM applications to production

Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3

Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.

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

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.

Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'

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

an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery

Projects developed by Domino's R&D team

Sync your ML data with your favorite productivity tools!

Deploy mlflow with docker-compose

ML Ops Accelerator: Databricks & Azure Machine Learning Unification

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit