Mlflow Open Source Projects

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Natural Language Processing Best Practices & Examples

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

股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

Koalas: pandas API on Apache Spark

FinOps and cloud cost optimization tool. Supports AWS, Azure, GCP, Alibaba Cloud and Kubernetes.

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

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

DoEKS is a tool to build, deploy and scale Data Platforms on Amazon EKS

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

All the available resources to master MLOPS from scratch

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Crane is a easy-to-use and beautiful desktop application helps you build manage your container images.

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)

🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.

[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes

Automated Tool for Optimized Modelling

Make GNN easy to start with

A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.

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.

Experiment tracking server focused on speed and scalability

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

Using Kafka-Python to illustrate a ML production pipeline

In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits

Deploy MLflow with HTTP basic authentication using Docker