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Name: Tom Niesytto
Type: User
Company: IBM
Location: Austin, TX
Name: Tom Niesytto
Type: User
Company: IBM
Location: Austin, TX
40 Algorithms Every Programmer Should Know, published by Packt
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
Algorithms and Data Structures implemented in Go for beginners, following best practices.
Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python
All Algorithms implemented in Scala
Applied Probability Theory for Everyone
[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide
AWS Lambda
files for my bash-scripting course on Safari Live
a fast, scalable, multi-language and extensible build system
Boids flocking simulator in ClojureScript (for ClojureScript training)
⭕️ Building Recommendation Engines in Python
➕ Continuously Deployed ML
Example projects and sample code featured in Clojure Programming (1st ed.) from O'Reilly
cuML - RAPIDS Machine Learning Library
Code examples for “Interactive Data Visualization for the Web”
Daniel Arbuckle's Mastering Python, published by Packt
Python and Dask: Scaling the Dataframe
Very simple dask demo
Empty repo for final project for "The Data Scientist Toolbox" course on Coursera
The Leek group guide to data sharing
Db2 JSON Examples using Jupyter Notebooks
Instructions and Code required to install IBM Cloud Private
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.