Azure / kubeflow-labs
👩🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure
☆291Updated 4 years ago
Alternatives and similar repositories for kubeflow-labs:
Users that are interested in kubeflow-labs are comparing it to the libraries listed below
- Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core☆174Updated 3 years ago
- Train TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure☆43Updated 6 years ago
- PyTorch on Kubernetes☆309Updated 3 years ago
- Python SDK for building, training, and deploying ML models☆336Updated 2 years ago
- 🎱 A demonstration of existing machine learning toolkits on Kubernetes☆55Updated 6 years ago
- Deep Learning Workspace☆202Updated last year
- Repo for publishing code Samples and CLI samples for BatchAI service☆126Updated 5 years ago
- Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018☆65Updated 6 years ago
- Information about the Kubeflow community including proposals and governance information.☆165Updated this week
- Deploying machine learning models to Azure☆62Updated 5 years ago
- A Tutorial for Serving Tensorflow Models using Kubernetes☆87Updated last week
- Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster☆76Updated 6 years ago
- Deploying Spark machine learning models to Azure☆15Updated last year
- Simple scripts and instructions for getting the most out of your kubeflow cluster. Use kubernetes-tools to setup and manage Kubernetes us…☆19Updated 5 years ago
- Incubating project for xgboost operator☆76Updated 3 years ago
- Deploying CNN using Kubeflow on Azure Kubernetes Service☆18Updated 6 years ago
- Small Google Cloud Platform examples and code snippets.☆155Updated 2 years ago
- AZTK powered by Azure Batch: On-demand, Dockerized, Spark Jobs on Azure☆151Updated 4 years ago
- Repository for assets related to Metadata.☆123Updated 3 years ago
- Terraform module for creating GKE clusters to run Kubeflow☆215Updated 4 years ago
- Shows how to spin up a DASK cluster on AML Compute☆29Updated 3 years ago
- Kubernetes Operator for Databricks☆115Updated 3 years ago
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆91Updated 11 months ago
- ☆37Updated 5 years ago
- 👩🔬[Experimental] Easily train and serve ML models on Kubernetes, directly from your python code.☆31Updated 6 years ago
- ☆33Updated 6 years ago
- ☆90Updated 5 years ago
- Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service☆115Updated 2 years ago
- Volume Controller for Kubernetes☆67Updated 2 years ago
- Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on K…☆692Updated last year