• Stars
    star
    144
  • Rank 255,590 (Top 6 %)
  • Language
    Python
  • License
    MIT License
  • Created about 4 years ago
  • Updated 7 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Sample AI Apps built with H2O Wave.

Sample Wave Apps

H2O Wave allows you to build AI apps, faster. This directory houses sample applications that you can download and run locally, modify, and integrate into your own AI apps.

Installation

Follow the instructions here to download and run the latest Wave Server, a requirement for all sample apps. Then, choose an app from below for setup instructions.

Available Apps

Explainable Hotel Ratings

Details: This app allows you to filter hotel reviews and compare the most common phrases from the subset to the overall most common phrases.

Guess the Number

Details: This a game where the machine "thinks" of a number and the human has to guess, getting told higher or lower. This application has a leader board where different users can compete to see who can guess numbers in the fewest number of turns, on average. This application teaches the developer about different app states and could be fun for new users.

Human-in-the-Loop Credit Risk

Details: This application allows a business user to review model predictions on whether or not someone will pay off their credit card - a model used to approve or deny credit card applications. Specifically, this app provides a list of predictions the model is not confident about (predictions in the 0.4 to 0.6 range) and allows the end user to mark someone as approved or not.

Mitigating Churn Risk

Details: This application builds a churn prediction model with H2O-3 and provides the likelihood to churn and actionable recommendations to prevent churn via nicely-presented top shapley values.

Online Shopping Recommendations

Details: This application allows a marketing anlayst to understand how their recommendation engine works. It allows them to add items to their cart and as they do a list of recommended products is updated.

Sales Forecasting EDA

Details: This application provides easy-to-use interface for exploring historical sales values and looking at future forecasts across store segments

Social Media Sentiment

Details: This application pulls tweets and uses the open source VaderSentiment to understand positive and negative tweets

JWT-Auth

Details: This is an example on how to add JWT-based authentication to a h2o wave app.

Employee Churn - Step by Step Training Apps

Details: These are a collection of self-contained applications that showcase the development of an Employee Churn application. Each application introduces additional components and progressively enhances the application with appropriate design patterns:

  • Debugging
  • Updating the content of cards without recreating them
  • Switching between multiple layouts using menu tabs

FAQs

While trying to run any of the apps particularly on Windows terminal, below are given some common errors and their fixes:

1. make (e=2): The system cannot find the file specified This is due to the os confusing between 'bin' and 'Scripts'. If you face this issue, open the Makefile present in the app folder using some Text Editor, and replace the word 'bin' with 'Scripts' in the virtual environment path of Setup and Run sections.

2. make command not found: This error comes when make is not installed on your OS. You can install make easily in Windows. More info on installing make is available on the Internet. You can also refer to their official website here: https://gnuwin32.sourceforge.net/packages/make.htm

3. Python not found: This error is probably if Windows is not able to recognise the path of Python, or if Python is not installed. In such case, install the latest version of Python from their official website https://www.python.org/downloads/ and add its path in the windows environment variables. Then restart windows. This will solve the issue.

More Repositories

1

h2ogpt

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
Python
11,235
star
2

h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Jupyter Notebook
6,862
star
3

h2o-llmstudio

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
Python
3,991
star
4

wave

Realtime Web Apps and Dashboards for Python and R
Python
3,966
star
5

h2o-2

Please visit https://github.com/h2oai/h2o-3 for latest H2O
Java
2,222
star
6

datatable

A Python package for manipulating 2-dimensional tabular data structures
C++
1,807
star
7

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform
Jupyter Notebook
1,457
star
8

sparkling-water

Sparkling Water provides H2O functionality inside Spark cluster
Scala
958
star
9

mli-resources

H2O.ai Machine Learning Interpretability Resources
Jupyter Notebook
479
star
10

h2o4gpu

H2Oai GPU Edition
C++
455
star
11

h2o-meetups

Presentations from H2O meetups & conferences by the H2O.ai team
Jupyter Notebook
412
star
12

awesome-h2o

A curated list of research, applications and projects built using the H2O Machine Learning platform
353
star
13

db-benchmark

reproducible benchmark of database-like ops
R
299
star
14

pystacknet

Jupyter Notebook
286
star
15

deepwater

Deep Learning in H2O using Native GPU Backends
C++
285
star
16

h2o-wizardlm

Open-Source Implementation of WizardLM to turn documents into Q:A pairs for LLM fine-tuning
Python
242
star
17

driverlessai-recipes

Recipes for Driverless AI
Python
224
star
18

nitro

Create apps 10x quicker, without Javascript/HTML/CSS.
TypeScript
200
star
19

h2o-flow

Web based interactive computing environment for H2O
CoffeeScript
131
star
20

tutorials

This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more...
Jupyter Notebook
129
star
21

enterprise-h2ogpte

Client Code Examples, Use Cases and Benchmarks for Enterprise h2oGPTe RAG-Based GenAI Platform
Python
79
star
22

rsparkling

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)
R
64
star
23

steam

DEPRECATED Build, manage and deploy H2O's high-speed machine learning models.
Java
61
star
24

h2o-world-2014-training

training material
Java
47
star
25

h2o-sparkling

DEPRECATED! Use https://github.com/h2oai/sparkling-water repository! H2O and Spark interoperability based on Tachyon.
Scala
43
star
26

app-consumer-loan

HTML
41
star
27

h2o-kubeflow

Jsonnet
37
star
28

h2o-droplets

Templates for projects based on top of H2O.
Java
37
star
29

driverlessai-tutorials

H2OAI Driverless AI Code Samples and Tutorials
Jupyter Notebook
37
star
30

app-malicious-domains

Domain name classifier looking for good vs. possibly malicious providers
HTML
33
star
31

data-science-examples

A collection of data science examples implemented across a variety of languages and libraries.
CSS
33
star
32

xgboost-predictor

Java
32
star
33

wave-ml

Automatic Machine Learning (AutoML) for Wave Apps
Python
32
star
34

AITD

Jupyter Notebook
31
star
35

h2o-LLM-eval

Large-language Model Evaluation framework with Elo Leaderboard and A-B testing
Jupyter Notebook
28
star
36

Deep-Learning-with-h2o-in-R

Deep neural networks on over 50 classification problems from the UC Irvine Machine Learning Repository
R
23
star
37

sql-sidekick

Experiment on QnA tabular data using LLMs and SQL
Python
22
star
38

h2o.js

Node.js bindings to H2O, the open-source prediction engine for big data science.
CoffeeScript
21
star
39

perf

Performance Benchmarks
Jupyter Notebook
21
star
40

typesentry

Python 2.7 & 3.5+ runtime type-checker
Python
20
star
41

covid19-datasets

20
star
42

h2o-kubernetes

H2O Open Source Kubernetes operator and a command-line tool to ease deployment (and undeployment) of H2O open-source machine learning platform H2O-3 to Kubernetes.
Rust
20
star
43

mlops-dai-runtimes

Production ready templates for deploying Driverless AI (DAI) scorers. https://h2oai.github.io/dai-deployment-templates/
Java
17
star
44

genai-app-store-apps

GenAI apps from H2O made Wave
Python
16
star
45

qcon2015

Repository for SF QConf 2015 Workshop
Java
16
star
46

h2o3-sagemaker

Integrating H2O-3 AutoML with Amazon Sagemaker
Python
13
star
47

wave-image-styling-playground

A interactive playground to style and edit images, generate art and have fun.
Python
13
star
48

article-information-2019

Article for Special Edition of Information: Machine Learning with Python
Jupyter Notebook
13
star
49

social_ml

Python
12
star
50

challenge-wildfires

Starter kit for H2O.ai competition Challenge Wildfires.
Jupyter Notebook
11
star
51

h2o-jenkins-pipeline-lib

Library of different Jenkins pipeline building blocks.
Groovy
11
star
52

haic-tutorials

Jupyter Notebook
10
star
53

wave-h2o-automl

Wave App for H2O AutoML
Python
9
star
54

cvpr-multiearth-deforestation-segmentation

Jupyter Notebook
8
star
55

ht-catalog

Diverse collection of 100 Hydrogen Torch Use-Cases by different industries, data-types, and problem types
HTML
8
star
56

app-ask-craig

Ask Craig application
Scala
7
star
57

dai-deployment-examples

Examples for deploying Driverless AI (DAI) scorers.
Java
7
star
58

ml-security-audits

TeX
7
star
59

wave-big-data-visualizer

Python
6
star
60

xai_guidelines

Guidelines for the responsible use of explainable AI and machine learning
Jupyter Notebook
5
star
61

authn-py

Universal Token Provider
Python
5
star
62

h2o-scoring-service

Scoring service backend by model POJOs.
Java
5
star
63

app-news-classification

Scala
5
star
64

jdupes

H2O.ai fork of https://codeberg.org/jbruchon/jdupes
C
5
star
65

covid19-backtesting-publication

Jupyter Notebook
5
star
66

fluid

Rapid application development for a more... civilized age.
CoffeeScript
5
star
67

app-mojo-servlet

Example of putting a mojo zip file as a resource into a java servlet.
Java
5
star
68

cloud-discovery-py

H2O Cloud Discovery Client.
Python
4
star
69

jacocoHighlight

Java
4
star
70

h2o-automl-paper

H2O AutoML paper
R
4
star
71

docai-recipes

Jupyter Notebook
4
star
72

deepwater-nae

Python
3
star
73

h2oai-power-nae

Shell
3
star
74

nitro-matplotlib

Matplotlib plugin for H2O Nitro
Python
3
star
75

h2o-cloud

H2O Cloud code.
Jupyter Notebook
3
star
76

nitro-plotly

Plotly plugin for H2O Nitro
Python
3
star
77

h2o-rf1-bench

Python
3
star
78

residuals-vis

JavaScript
3
star
79

wave-r-data-table

This wave application is a R data.table tutorial and interactive learning environment developed using the wave library for R.
R
3
star
80

python-chat-ui

3
star
81

h2o_genai_training

Repository for H2O.ai's Generative AI Training
Jupyter Notebook
3
star
82

roc-chart

JavaScript
2
star
83

driverlessai-alt-containers

Shell
2
star
84

camelot

Modified version of https://github.com/camelot-dev/camelot
Python
2
star
85

nitro-bokeh

Bokeh plugin for H2O Nitro
Python
2
star
86

wave-amlb

Wave Dashboard for the OpenML AutoML Benchmark
Python
2
star
87

h2o-evals

Bring Your Own Evals
Python
2
star
88

pydart

Dart/Flutter <-> Python transpiler
Python
2
star
89

app-titanic

HTML
2
star
90

h2o3-xgboost-nae

Shell
2
star
91

residuals-vis-example-project

JavaScript
2
star
92

py-repo

Python package repository
HTML
2
star
93

dai-centos7-x86_64-nae

Dockerfile
1
star
94

correlation-graph

JavaScript
1
star
95

lightning

High performance, interactive statistical graphics engine for the web.
CoffeeScript
1
star
96

residuals-vis-data

JavaScript
1
star
97

2017-06-21-hackathon

Meetup Hackathon 06/21/2017
HTML
1
star
98

h2o-health

An initiate of H2O.ai to build AI apps to solve complex healthcare and life science problems
Makefile
1
star
99

h2o-google-bigquery

Python
1
star
100

dallas-tutorials

Temporary repository for fast git cloning during the h2o dallas event.
Jupyter Notebook
1
star