HEAVY.AI's Projects
Demo files for AICamp tutorial on GOAI/GPU DataFrame
Client-side reusable Charting Library based on D3.js v4 that allows easy and intuitive use of charts and components that can be composed together creating amazing visualizations.
Using OmniSci with MLFlow to develop and compare models of US Census Undercount
This is a basic example of using the MapD charting libraries
Fork of chromadb with support for pysqlite3
demos of geospatial functionality created by and for the MapD community
Example datasets and dashboards known to work well in OmniSci
All scripts and code related to our covid19 work
Code for EARL 2018 Boston demonstration by Randy Zwitch
Real-time vehicle telematics analytics demo using OmniSci
A collection of utilities for field use
A Python and Kafka dataflow for the General Bikeshare Feed Specification (GBFS)
Short snippets of python testing various geo-enrichment examples and timing the results
Scan and analyze OSS dependencies and licenses from compiled Go binaries
Exploring Google Analytics Data with MapD
An easy-peasy method to import Google Analytics data into MapD and make it actionable.
Arcane tools to help you squash hard-to-find bugs
Python Data Science package for HeavyDB.
Dimensional charting built to work natively with crossfilter rendered using d3.js
A JavaScript library for connecting to a OmniSci GPU database and running queries.
JavaScript library for exploring large multivariate datasets in the browser.
A simple development stack for HeavyAI using docker compose
A JDBC driver for connecting to an HeavyAI GPU database and running queries.
Example Python notebooks for use with the HEAVY.AI analytics platform
A medley of python functions to use with HeavyDB
Rust client for OmniSci https://github.com/omnisci/omniscidb https://www.omnisci.com/
Play with and instantly visualize hundreds of millions of realtime tweets, from the global level all the way down to your neighborhood.