Alternatives and similar repositories for Yatai:

Users that are interested in Yatai are comparing it to the libraries listed below

• SeldonIO / MLServer
  An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
  ☆765Updated last week
• kubeflow-kale / kale
  Kubeflow’s superfood for Data Scientists
  ☆631Updated 2 years ago
• bentoml / bentoctl
  Fast model deployment on any cloud 🚀
  ☆175Updated 11 months ago
• deployKF / deployKF
  deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform…
  ☆397Updated 6 months ago
• tensorchord / envd
  🏕️ Reproducible development environment
  ☆2,084Updated this week
• datarevenue-berlin / OpenMLOps
  ☆703Updated 2 years ago
• bodywork-ml / bodywork-core
  ML pipeline orchestration and model deployments on Kubernetes.
  ☆437Updated last year
• mosecorg / mosec
  A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
  ☆819Updated 2 weeks ago
• bentoml / yatai-deployment
  🚀 Launching Bento in a Kubernetes cluster
  ☆17Updated 10 months ago
• iterative / mlem
  🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞
  ☆718Updated last year
• zenml-io / mlstacks
  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
  ☆253Updated 4 months ago
• thoughtworks / mlops-platforms
  Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
  ☆389Updated 2 years ago
• nebuly-ai / nos
  Module to Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elas…
  ☆643Updated 9 months ago
• unionai-oss / unionml
  UnionML: the easiest way to build and deploy machine learning microservices
  ☆335Updated last year
• kleveross / ormb
  Docker for Your ML/DL Models Based on OCI Artifacts
  ☆466Updated last year
• mlrun / mlrun
  MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integra…
  ☆1,481Updated this week
• kserve / website
  User documentation for KServe.
  ☆104Updated this week
• kserve / modelmesh-serving
  Controller for ModelMesh
  ☆218Updated last month
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆186Updated 9 months ago
• operatorai / modelstore
  🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…
  ☆383Updated last month
• cdfoundation / sig-mlops
  CDF SIG MLOps
  ☆611Updated 2 months ago
• iterative / terraform-provider-iterative
  ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes
  ☆292Updated 2 months ago
• jacopotagliabue / you-dont-need-a-bigger-boat
  An end-to-end implementation of intent prediction with Metaflow and other cool tools
  ☆856Updated last year
• ray-project / kuberay
  A toolkit to run Ray applications on Kubernetes
  ☆1,463Updated this week
• feathr-ai / feathr
  Feathr – A scalable, unified data and AI engineering platform for enterprise
  ☆1,881Updated 10 months ago
• kubeflow / manifests
  A repository for Kustomize manifests
  ☆854Updated this week
• logicalclocks / hopsworks
  Hopsworks - Data-Intensive AI platform with a Feature Store
  ☆1,193Updated last week
• clearml / clearml-serving
  ClearML - Model-Serving Orchestration and Repository Solution
  ☆143Updated last month
• SeldonIO / seldon-core
  An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
  ☆4,448Updated this week
• jeremyjordan / ml-monitoring
  A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.
  ☆230Updated last year