Showing 21-40 of 91 projects
A collection of Jupyter notebooks showcasing how to build and deploy machine learning models with Amazon SageMaker.
The AI developer platform to train and fine-tune models, and manage models from experimentation to production.
Kedro is a Python toolkit for building production-ready data science and machine learning pipelines.
A booklet on machine learning systems design with exercises for developers interested in MLOps and production ML.
Build, manage and deploy AI/ML systems with Metaflow
Versatile database for AI, supporting storage, querying, versioning, and visualization of any AI data.
This GitHub repository provides a tutorial and examples on the basics of MLOps, covering infrastructure, training, and deployment.
BentoML is an easy-to-use framework for building and deploying production-ready machine learning models as APIs.
Evidently is an open-source ML and LLM observability framework to evaluate, test, and monitor AI-powered systems.
A flexible workflow orchestration platform that seamlessly integrates data, ML, and analytics stacks.
An open-source feature store for AI/ML applications
ClearML is an MLOps/LLMOps solution that streamlines AI/ML workloads with experiment management, data management, pipelines, orchestration, and serving.
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
An open-source data format for building high-performance multimodal AI applications with fast random access, vector indexing, and data versioning.
Aim is an open-source experiment tracker that makes it easy to track and visualize machine learning experiments.
Production-ready templates to quickly ship AI agents to Google Cloud with built-in CI/CD, evaluation, and observability.
An awesome list of best LLMOps tools for developers building with AI tools and language models.
Superduper is an end-to-end framework for building custom AI applications and agents using Python, PyTorch, and Transformers.
ZenML is a production-ready AI platform that provides a unified framework for building, deploying, and managing ML pipelines and agents.
A user-friendly template for ML experimentation using PyTorch Lightning and Hydra.
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