MLHub Currated Pre Built Model Catalogue

This repository indexes the following currated pre-built machine learning models. Please try them out and let us know of any issues you have. They should be easily and quickly installed and demonstrated. Feedback is welcome through github. Visit MLHub.ai for details.

Whilst anyone can create a MLHub model simply by including a MLHUB.yaml file in their github repository, the models listed here are regarded as currated in the sense that they have been vetted by MLHub volunteers. If you find any issues do be sure to report them though.

Name Version Description
animate 2.1.0 Tell a data narative through animations
audit 4.1.0 Classic financial audit predictive classification model.
azanomaly 3.1.4 Azure Anomaly Detection.
azcv 2.3.0 Azure Computer Vision.
azface 2.0.4 Azure Face API demo.
azlang 0.0.3 Azure language cognitive service on the cloud.
azspeech2txt 2.1.0 Azure Speech to Text cognitive services on the cloud.
aztext 1.0.4 Azure Text Analytics cognitive services on the cloud.
aztranslate 2.0.1 Azure Text Translation cognitive services on the cloud.
barchart 2.0.0 Demonstrate the concept of barcharts.
beeswarm 2.0.1 Demonstrate the concept of bee swarm charts.
colorize 1.4.10 Demonstrate the concept of photo colorization.
facedetect 0.2.5 Simple face detection.
facematch 0.4.2 Simple face recognition.
facets 1.0.1 Visualising data using faceted plots.
iris 2.1.0 Classic iris plant species classifier.
movies 2.0.3 Movie recommendation using the SAR algorthm.
objects 1.5.6 Recognise objects in an image using resnet152.
opencv 1.0.2 OpenCV Computer Vision.
ports 2.0.0 Demostrate the concept of visualising data.
rain_dt 4.0.3 Predict rain tomorrow using a decision tree model.
rain_rf 2.0.2 Predict rain tomorrow using a random forest model.
rbm 1.0.6 Recommendations using restricted Boltzmann machine.
sar 1.1.6 Smart adaptive recommendations.
scatter 2.0.0 Demonstrate the concept of scatter plots.
tapwater 0.0.3 Factor analysis for understanding customers

Index

animation

anomaly detection

azure

bar chart

basics

biology

blurry

classification

climate

cloud

colorize

computer vision

consumer involvement

decision tree

dnn

face detection

face recognition

facets

factor analysis

ggplot2

graphics

image classification

image to text

imagenet

introductory

iris

language

movie recommendation

ocr

plot

ports

prediction

psych

python

python3

r

random forest

recommendation

resnet

rpart

sar

scatter plot

speech

text analytics

text translation

thumbnail

translation

visualisation

weather