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ai-ml

AI/ML for Software Engineers

algorithms

A collection of algorithms

azkaban-plugins

Common plugins for azkaban2

azkaban2

Azkaban scheduler re-written from the ground up.

boston-gradientboosting-mlflow

Simple MLflow example

currency-arbitrage-graph

Visualize arbitrage opportunities in foreign currency exchange.

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

dynamic-programming

Master Dynamic Programming

elements-of-programming-interviews

Method stubs and test cases for the problems from Elements of Programming Interviews

evthub

Event Hub

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

flink-demo

Flink demo with customer data source. The output can be easily visualize in FluxDB.

flink-mobile-data-usage

flink-training-exercises

graph-dijkstra-astar

hadoop-student-homework

starting project for students to do homework

intro-to-dl

Resources for "Introduction to Deep Learning" course.

intv-problems

Apply data structures & algorithms to solve algorithmic problems

jsd-mlflow-examples

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

machine-learning-systems-design

A booklet on machine learning systems design with exercises

mlflow-fun

MLflow samples

mlflow-keras-ffnn-mnist

MLproject for training a feed-forward neural network on MNIST in Keras

mlflow-keras-mnist

MLProject for training a Keras CNN model on the MNIST dataset

mlflow-spark-summit-2019

MLFlow Spark Summit 2019 Presentation

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.

mlflow-workshop-part-3

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.

mlops-basics