chijuwu90,Chi-Ju Wu,github

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

aws-devops-essential

In few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market for new product capabilities.

azure-event-hubs-spark

Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bitcoin

Bitcoin Core integration/staging tree

blogscripts

Repository for code used in my blog posts

channel-attribution-model

An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of events leads to conversion (purchase). The trained model can also assign credits to channels. The model also incorporates user-context information, such as user demographics and behavior, as control variables to reduce the estimation biases of media effects.