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Joe's Projects

mvfst icon mvfst

An implementation of the QUIC transport protocol.

mxgraph icon mxgraph

mxGraph is a fully client side JavaScript diagramming library

mycogia.com icon mycogia.com

The actual source that is running mycogia minus the ~0.7b2 pinax-env

mydriving icon mydriving

Building IoT or Mobile solutions are fun and exciting. This year for Build, we wanted to show the amazing scenarios that can come together when these two are combined. So, we went and developed a sample application. MyDriving uses a wide range of Azure services to process and analyze car telemetry data for both real-time insights and long-term patterns and trends. The following features are supported in the current version of the mobile app.

myewb2 icon myewb2

Engineers Without Borders Canada's online community software. Based off of pinax.

myosuite icon myosuite

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

n8n icon n8n

Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.

nb icon nb

Neural Network Blocks - Collect all kinds of fancy model blocks for you to build more powerful neural network model.

nbflow icon nbflow

A tool that supports one-button reproducible workflows with the Jupyter Notebook and Scons.

ncnn icon ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

netflix icon netflix

Subscribe to my YouTube channel: https://bit.ly/CognitiveSurge - Building Netflix Using React

netflix-prize icon netflix-prize

The code I used to get in the top #150 in the Netflix Prize

netty icon netty

Netty project - an event-driven asynchronous network application framework

neural-compressor icon neural-compressor

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

neural-nets icon neural-nets

Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course

neural-parscit icon neural-parscit

Neuralized version of the Reference String Parser component of the ParsCit package.

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