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anomaly-detector

These are the jupyter notebooks for the anomaly detector blog

autogen

automated-feature-engineering

Automated feature engineering in Python with Featuretools

aws-batch

azure-automl

azure_batch

bert-roberta-xlnet

cloudbookcode

This contains the code samples and demos for the cloudbook

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

dataflowjavasdk

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

dcos

This is the simple docker container used in the blog post

eventstreams

This is the source code for the post on azure stream analytics with sciml

generative_models

experimental

graphs

inference-compilers

this is the notebook to accomany "Accelerating Deep Learning Inference with Hardware and Software Parallelism"

juliacloud

This repository contains the files needed to build the juliacloud container refered to in the blog "Julia Distributed Computing in the Cloud"

knowedge-graph-with-gpt4

knowledge-graph

lambda_workflow

An example of a lambda function for the workflow example

lstm-doublependulum

math

Notebooks from Explainable Deep Learning and Guiding Human Intuition with AI

molecular_diffusion

nnets-and-diffeqns

jupyter notebooks for the neural nets and differential equation paper

openai

oxfordraspberry

parsl-funcx

predicting_streams

This is the collection of notebooks and data used in the stream prediction blog

probablistic-programming

pydata

ray-demos