Pinned Repositories
bayesian_diffusivity_inference
Data and source code for the "Segregation of Near- and Far-Field Microseismicity through Bayesian Inference of Diffusivity" manuscript, in preparation
dotfiles
automated ubuntu setup for my ROG Strix
duvernay_geomech_model
A machine learning repository for analyzing geomechanical data in the Duvernay
fracture-segmentation
Image segmentation and analysis for core and outcrop photos
graphql_llm
A proof of concept for conecting GraphQL & Langchain
ml-research
A repo dedicated to doing research on mlops and doing ml better
msclustering
Microseismic Clustering
multimodal-accelerator
A solution accelerator for multimodal document parsing and search on Databricks
requirements_similarity
An example of using NLP and embeddings to analyze requirements
timeseries_research
A hodgepodge of advanced time series analysis work
ScottHMcKean's Repositories
ScottHMcKean/dotfiles
automated ubuntu setup for my ROG Strix
ScottHMcKean/duvernay_geomech_model
A machine learning repository for analyzing geomechanical data in the Duvernay
ScottHMcKean/multimodal-accelerator
A solution accelerator for multimodal document parsing and search on Databricks
ScottHMcKean/bayesian_diffusivity_inference
Data and source code for the "Segregation of Near- and Far-Field Microseismicity through Bayesian Inference of Diffusivity" manuscript, in preparation
ScottHMcKean/graphql_llm
A proof of concept for conecting GraphQL & Langchain
ScottHMcKean/requirements_similarity
An example of using NLP and embeddings to analyze requirements
ScottHMcKean/anomaly_detection
Covers some basic anomaly detection for industrial applications using the SKAB dataset
ScottHMcKean/fracture_intensity_inference
Code, templates, and data for the manuscript entitled ""
ScottHMcKean/ml-research
A repo dedicated to doing research on mlops and doing ml better
ScottHMcKean/timeseries_research
A hodgepodge of advanced time series analysis work
ScottHMcKean/dab_example
An example of using Databricks asset bundles
ScottHMcKean/genai_notebooks
A potpourri of generative ai notebooks
ScottHMcKean/graph-research
A proof of concept for graph based optimization workflows
ScottHMcKean/many-model-forecasting
Bootstrap your large scale forecasting solution on Databricks with Many Models Forecasting (MMF) Project.
ScottHMcKean/microrag
Proof of concept for a local retrieval augmented generation (RAG) model
ScottHMcKean/mlops
A general repository to accelerate MLOps using MLFLow & Databricks
ScottHMcKean/named_entity_recognition
A quick repo for named entity recognition on Databricks
ScottHMcKean/noc_agent
An example accelerator to develop an agent to chat with National Occupational Classification
ScottHMcKean/process_safety
A repo to use both traditional and generative AI to analyze process safety
ScottHMcKean/pyemu
python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)
ScottHMcKean/pyfracman
Python Functions for Accelerating and Assessing Fracman Workflows
ScottHMcKean/r-research
Dedicated to holding random R notebooks because yes, people still use R and it's solid
ScottHMcKean/rl-research
A research repository dedicated to profiling reinforcement learning
ScottHMcKean/scotthmckean.github.io
Geo Eng I/O Site
ScottHMcKean/spe_volve_drilling
SPE Mentorship Volve Drilling Data Project
ScottHMcKean/stock_market_analytics
A package to do analytics on the stock market and make dubious predictions about the future.
ScottHMcKean/Thesis
My PhD Thesis
ScottHMcKean/time_series
A repository to showcase time series analysis through Nixtla and Databricks
ScottHMcKean/volve_bhp
This is an example repository for the data science mentorship program for predicting bottomhole pressure off the Volve production data.
ScottHMcKean/witsml
A library dedicated to scaled workflows with WITSML data on Databricks