Tutorials and Examples

To help you get started we've put together a collection of tutorials for various features in cnvrg. On this page, you can access all of the tutorials.

Example Projects

• Build and Deploy an IMDB NLP Model
• Train and Deploy a CNN for MNIST
• Use R to Train an Iris Classification Model
• Approximate Pi using Spark on Kubernetes
• Publish a Dash App using Facets
• Publish an R Shiny App using Iris

Generic Webapp

• Create sentiment analysis app using Gradio
• Create sentiment analysis app using Streamlist

Workspaces, Experiments and IDEs

• Run an Experiment in a Jupyter Workspace
• Using Pycharm with cnvrg
• Convert and Run Python Notebooks using nbconvert
• View and compare Jupyter Notebooks
• Monitor your Experiment's Health
• Advanced Model Tracking with Keras Callbacks
• Advanced Model Tracking in PyTorch
• R Experiment Tracking
• Advanced Model Tracking in PyTorch Lighning
• Custom R Shiny Example
• Remote SSH in Visual Studio Code
• Remote Python Interpreter in PyCharm
• Remote Python Interpreter in IntelliJ IDEA
• Run a Distributed Tensorflow Experiment using Horovod and MPI
• Run Hyperparameters tuning using Ray

Flows and Serving

• Processing your Dataset with Flows
• Create a Simple Flow with Two Tasks
• Build a Canary Release Flow
• Setup and Make a Batch Prediction
• Monitor, Retrain and Learn from your cnvrg Endpoint

Other

• Setup Slack Integration for Experiments in a Project
• Use Spark on Kubernetes with cnvrg
• Use NNI with cnvrg