mlops

Label Studio is a multi-type data labeling and annotation tool with standardized output format

📊 llm.report is an open-source logging and analytics platform for OpenAI: Log your ChatGPT API requests, analyze costs, and improve your prompts.

Model Deployment at Scale on Kubernetes 🦄️

Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speed Up Responses, and Ensure Non-Stop Reliability.

🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more

A tool for evaluating LLMs

CAIPE is an open-source AI platform for building, governing, and operating AI agents and agentic workflows for platform engineering and beyond.

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

Kubeflow Pipelines on Tekton

MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK

The Best TypeScript framework for fine-tuning

Managing the lifecycle of machine learning to support scalability, impact, collaboration, compliance and sharing.

Build reliable, secure, and production-ready AI apps easily.

This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.

The user interface for Flyte

Plug-and-play, dependency-free web command center for DGX Spark fleets (and any GPU boxes): live per-node GPU/CPU/mem/temps/power, optional RouterOS switch monitoring, and per-model decode/prefill/TTFT/KV cards. Point it at your own hardware.

A JavaScript client library for MLflow that streamlines machine learning lifecycle management in web environments.

Compare LLMs in one click

GPU Environment Management for Visual Studio Code

MLOps Pipeline Using SageMaker & CDK, where models are from SageMaker built-in algorithms.