mlops-platformsCompare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
Stars: ✭ 293 (+295.95%)
Mutual labels: sagemaker, mlops, mlflow
amazon-sagemaker-model-serving-using-aws-cdkThis repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.
Stars: ✭ 23 (-68.92%)
Mutual labels: sagemaker, mlops
k3aiA lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.
Stars: ✭ 105 (+41.89%)
Mutual labels: mlops, mlflow
cartpole-rl-remoteCartPole game by Reinforcement Learning, a journey from training to inference
Stars: ✭ 24 (-67.57%)
Mutual labels: mlops, mlflow
MLOpsMLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring.
Stars: ✭ 28 (-62.16%)
Mutual labels: mlops, mlflow
fusemlFuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.
Stars: ✭ 73 (-1.35%)
Mutual labels: mlops, mlflow
lightning-hydra-templatePyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
Stars: ✭ 1,905 (+2474.32%)
Mutual labels: mlops, mlflow
craneCrane is a easy-to-use and beautiful desktop application helps you build manage your container images.
Stars: ✭ 223 (+201.35%)
Mutual labels: mlops, mlflow
hubPublic reusable components for Polyaxon
Stars: ✭ 8 (-89.19%)
Mutual labels: sagemaker, mlops
Amazon Sagemaker ExamplesExample 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Stars: ✭ 6,346 (+8475.68%)
Mutual labels: sagemaker, mlops
sagemaker-workshop-101Hands-on demonstrations for data scientists exploring SageMaker
Stars: ✭ 45 (-39.19%)
Mutual labels: sagemaker
mlops.toys🎲 A curated list of MLOps projects, tools and resources
Stars: ✭ 169 (+128.38%)
Mutual labels: mlops
managed ml systems and iotManaged Machine Learning Systems and Internet of Things Live Lesson
Stars: ✭ 35 (-52.7%)
Mutual labels: sagemaker
syne-tuneLarge scale and asynchronous Hyperparameter Optimization at your fingertip.
Stars: ✭ 105 (+41.89%)
Mutual labels: sagemaker
hi-mlHI-ML toolbox for deep learning for medical imaging and Azure integration
Stars: ✭ 150 (+102.7%)
Mutual labels: mlops
sagemaker-sparkml-serving-containerThis code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.
Stars: ✭ 44 (-40.54%)
Mutual labels: sagemaker
aws-ai-ml-workshop-krA collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
Stars: ✭ 65 (-12.16%)
Mutual labels: sagemaker
kedro-airflow-k8sKedro Plugin to support running pipelines on Kubernetes using Airflow.
Stars: ✭ 22 (-70.27%)
Mutual labels: mlops
