dmatrix

examples

These are some code examples

genai-cookbook

A mixture of Gen AI cookbook recipes for Gen AI applications.

jsd-mlflow-examples

This is a collection of MLflow examples that you can directly run with mlflow command

misc-code

A repo for example code for technologies and platforms: MLflow, PyTorch, Python Language features, Spark and Scala, etc.

mlflow-workshop-part-1

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

mlflow-workshop-part-2

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

ray-core-tutorial

Introduction to Ray Core Design Patterns and APIs.

ray-misc-examples

All Things Ray!

spark-saturday

Workshop for Spark and Databricks

ray-educational-materials

This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.

dmatrix/ray-core-tutorial

Introduction to Ray Core Design Patterns and APIs.

dmatrix/genai-cookbook

A mixture of Gen AI cookbook recipes for Gen AI applications.

dmatrix/mlflow-workshop-part-2

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

dmatrix/tmls-workshop

Toronto Machine Learning MLflow Workshop

dmatrix/feast_workshops

A series of workshop modules introducing Feast feature store.

dmatrix/olt-mlflow

O'Reilly Online Training Materials for MLflow

dmatrix/ray-core-serve-tutorial-mlops

A two part tutorial for Ray Core APIs and Ray Serve for Model Deployment

dmatrix/misc-code

A repo for example code for technologies and platforms: MLflow, PyTorch, Python Language features, Spark and Scala, etc.

dmatrix/mlflow-workshop-project-expamle-1

This example demonstrates how you can use GitHub projects in MLflow and share it with others to reproduce runs

dmatrix/ds4g-workshop

dmatrix/LearningSparkV2

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

dmatrix/mlflow

Open source platform for the machine learning lifecycle

dmatrix/pycaret-demo-mlflow

pycaret-demo-mlflow

dmatrix/ray-misc-examples

All Things Ray!

dmatrix/academy

Ray tutorials from Anyscale

dmatrix/ad-serving-tutorial

Tecton's tutorial for using an Enterprise Feature Store.

dmatrix/cookbook

Jules Fork for PRs

dmatrix/data-assets

Assets for blogs, datasets, slides, notebooks etc

dmatrix/delta

An open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.

dmatrix/devAIWorld23

Tutorial for Ray Core Workshop for Dev AI World 2023

dmatrix/feast

Feature Store for Machine Learning

dmatrix/feast-driver-ranking-tutorial

dmatrix/feast-fraud-tutorial

Resources backing the Feast fraud tutorial on GCP

dmatrix/koalas

Koalas: pandas API on Apache Spark

dmatrix/ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

dmatrix/ray-code-snippets

This is supplementary repo for creating and testing Ray API code examples

dmatrix/ray_tutorial

An introductory tutorial about leveraging Ray core features for distributed patterns.

dmatrix/spark

Apache Spark

dmatrix/tune-sklearn

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

dmatrix/tutorial