Doug Kelly
dougkelly
Principal AI Solutions Engineer @Microsoft
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20
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Jupyter Notebook
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Top Repositories
GalvanizeU Machine Learning & Natural Language Processing Final Project. Explored topic modeling approaches in Python to summarize emails by latent foreign policy topics using Non-Negative Matrix Factorization and LDA approaches in Sklearn
Smart Meter Disaggregation + Energy Savings Recommender application using Postgres, Redshift, Kinesis, Spark (ongoing)
My implementation of DBSCAN algorithm in Python. Part of GalvanizeU Machine Learning coursework.
NIM Agent Blueprint for generative AI-based virtual screening on Azure Kubernetes Service
An experimental open-source attempt to make GPT-4 fully autonomous.
Personal laboratory for SageMaker experiments
Repositories
20NIM Agent Blueprint for generative AI-based virtual screening on Azure Kubernetes Service
Smart Meter Disaggregation + Energy Savings Recommender application using Postgres, Redshift, Kinesis, Spark (ongoing)
An experimental open-source attempt to make GPT-4 fully autonomous.
Personal laboratory for SageMaker experiments
Notebooks using the Hugging Face libraries 🤗
Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker
No description provided.
GalvanizeU Machine Learning & Natural Language Processing Final Project. Explored topic modeling approaches in Python to summarize emails by latent foreign policy topics using Non-Negative Matrix Factorization and LDA approaches in Sklearn
No description provided.
TFX is an end-to-end platform for deploying production ML pipelines
Machine Learning Pipelines for Kubeflow
Code for the TCAV ML interpretability project
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
My implementation of DBSCAN algorithm in Python. Part of GalvanizeU Machine Learning coursework.
Churn Model created for GalvanizeU Data Science Leadership & Entrepreneurism course
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 ;)
Anonymized versions of the discussion threads from the forums of 60 Coursera MOOCs
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
Work Associated w/ Functional Programming Principles in Scala MOOC
This is my first repository on Github