The open source AI engineering platform. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI agents, LLM applications, and ML models 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

A comprehensive Python package template to kickstart and standardize your MLOps initiatives and data pipelines.

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

Books / PDFS / EPUBS for different fields of programming . READ GROW AND ENJOY 😊😊😊😊

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

All the available resources to master MLOPS from scratch

Framework to bring LLM applications to production

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.

Repository with code examples of mlflow

A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)