noodlefrenzy
Principal SDE at @Microsoft with a focus on ML, Deep Learning, and Distributed Systems.
@MicrosoftUnited States
Pinned Repositories
asp-mappy
Example of wiring up SignalR to connect an EventHub receiving GPS data to a Leaflet map rendering it.
azure-mobile-local
Easy way to run Node.js-based Azure Mobile Service locally and write unit-tests for it.
CognitiveServicesTutorial
Cognitive Services Tutorial for AI Immersion Workshop 2017
easy-tensorflow-multimodel-server
Simple to run server for multiple TensorFlow Object Detection models
event-hub-client
ImageRecognitionInKeras
A few simple scripts to help you train and evaluate Transfer Learning-based custom image recognition models.
NikkeiAISummit2019
Deck and supporting content for talk at Nikkei AI Summit - 2019.04.22
node-amqp10
amqp10 is a promise-based, AMQP 1.0 compliant node.js client
promptgen
CLI for managing and generating Foundation Model prompts
SocialGoodAtCloudScale
Social Good at Cloud Scale - a talk at MLPrague 2018, and supporting materials.
noodlefrenzy's Repositories
noodlefrenzy/node-amqp10
amqp10 is a promise-based, AMQP 1.0 compliant node.js client
noodlefrenzy/easy-tensorflow-multimodel-server
Simple to run server for multiple TensorFlow Object Detection models
noodlefrenzy/promptgen
CLI for managing and generating Foundation Model prompts
noodlefrenzy/NikkeiAISummit2019
Deck and supporting content for talk at Nikkei AI Summit - 2019.04.22
noodlefrenzy/SocialGoodAtCloudScale
Social Good at Cloud Scale - a talk at MLPrague 2018, and supporting materials.
noodlefrenzy/ImageRecognitionInKeras
A few simple scripts to help you train and evaluate Transfer Learning-based custom image recognition models.
noodlefrenzy/MLTokyo2019Talk
Presentation and supporting materials for my talk to the MLTokyo group in November of 2019
noodlefrenzy/node-cerulean
Wrappers, utilities, etc. for making working with Azure and Azure Storage even easier in Node.js
noodlefrenzy/StrataDataLondon2018
Content for the talk Elena Terenzi and I gave at Strata Data in London on 24-May-2018.
noodlefrenzy/chatrunner
noodlefrenzy/aml-keras-image-recognition
noodlefrenzy/aml-tf-object-detection-deployment
A sample Azure Machine Learning project for creating the Docker container with a pre-trained object detection model and deploying it as API
noodlefrenzy/azure-docs
noodlefrenzy/bingtilesystem
TypeScript/Node bing tile system stuffs
noodlefrenzy/bt
bt - flexible backtesting for Python
noodlefrenzy/code-with-engineering-playbook
This is the playbook for "code-with" customer or partner engagements
noodlefrenzy/covid19japan
noodlefrenzy/edgellm
LLMs on the Edge
noodlefrenzy/fastai
The fast.ai deep learning library, lessons, and tutorials
noodlefrenzy/ffn
ffn - a financial function library for Python
noodlefrenzy/langchain-ts-conversations
Testing ability of models to converse with themselves and self-correct
noodlefrenzy/LLM-Augmenter
noodlefrenzy/llm-challenger
Using LangChain.js to build intuition on how LLMs can self-correct and self-regulate.
noodlefrenzy/MLOpsManufacturing
Demonstrate samples and good engineering practice for operationalizing machine learning solutions.
noodlefrenzy/noodlefrenzy.github.io
Public site for Michael Lanzetta (noodlefrenzy), a Software Engineer, Data Scientist, and Manager at Microsoft.
noodlefrenzy/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
noodlefrenzy/PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
noodlefrenzy/semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
noodlefrenzy/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
noodlefrenzy/tuned-lens
Tools for understanding how transformer predictions are built layer-by-layer