MLflow-as-a-decorator

Open source platform for the machine learning lifecycle

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

Koalas: pandas API on Apache Spark

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

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 & ML Platforms on Amazon EKS

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

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

Framework to bring LLM applications to production