Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
Aug 15, 2024 - Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A high-throughput and memory-efficient inference and serving engine for LLMs
☁️ Build multimodal AI applications with cloud-native stack
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Machine Learning Pipelines for Kubeflow
Always know what to expect from your data.
An orchestration platform for the development, production, and observation of data assets.
MLOps using Azure ML Services and Azure DevOps
Standardized Serverless ML Inference Platform on Kubernetes
The Open Source Feature Store for Machine Learning
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!
Turns Data and AI algorithms into production-ready web applications in no time.
🚀 Build and manage real-life ML, AI, and data science projects with ease!
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Machine Learning Engineering Open Book
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
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