- Deploy a Scikit-learn Model Binary
- Deploy a Tensorflow Exported Model
- MLflow Pre-packaged Model Server A/B Test
- MLflow Open Inference Protocol End to End Workflow
- Deploy a XGBoost Model Binary
- Deploy Pre-packaged Model Server with Cluster's MinIO
- Custom Pre-packaged LightGBM Server
- SKLearn Spacy NLP
- SKLearn Iris Classifier
- Sagemaker SKLearn Example
- TFserving MNIST
- Statsmodels Holt-Winter's time-series model
- Runtime Metrics & Tags
- Triton GPT2 Example
- Kubeflow Seldon E2E Pipeline
- H2O Java MoJo
- Outlier Detection with Combiner
- Stream Processing with KNative Eventing
- Kafka CIFAR10
- Kafka SpaCy SKlearn NLP
- Kafka KEDA Autoscaling
- CPP Wrapper Simple Single File
- Advanced CPP Buildsystem Override
- Environment Variables
- AWS EKS Tensorflow Deep MNIST
- Azure AKS Tensorflow Deep MNIST
- GKE with GPU Tensorflow Deep MNIST
- Alibaba Cloud Tensorflow Deep MNIST
- Triton GPT2 Example Azure
- Setup for Triton GPT2 Example Azure
- Real Time Monitoring of Statistical Metrics
- Model Explainer Example
- Model Explainer Open Inference Protocol Example
- Outlier Detection on CIFAR10
- Training Outlier Detector for CIFAR10 with Poetry
- Batch Processing with Argo Workflows and S3 / Minio
- Batch Processing with Argo Workflows and HDFS
- Batch Processing with Kubeflow Pipelines
- Autoscaling Example
- KEDA Autoscaling example
- Request Payload Logging with ELK
- Custom Metrics with Grafana & Prometheus
- Distributed Tracing with Jaeger
- CI / CD with Jenkins Classic
- CI / CD with Jenkins X
- Replica control
- Example Helm Deployments
- Max gRPC Message Size
- Deploy Multiple Seldon Core Operators
- Protocol Examples
- Configurable timeouts
- Custom Protobuf Data Example
- Disruption Budgets Example
- Istio AB Test
- Ambassador AB Test
- Seldon/Iter8 - Progressive AB Test with Single Seldon Deployment
- Seldon/Iter8 - Progressive AB Test with Multiple Seldon Deployments