Pinned Repositories
PyRIT
The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.
2020-Election-Prediction
Predicting the Outcome of the 2020 Election: k-NN, logistic regression, LASSO/ridge regularization, model fairness evaluation
am207_final_project
Repo for AM207 final project on implementing the method proposed in Fast Adaptation with Linearized Neural Networks
blakebullwinkel.github.io
personal portfolio website for my projects, CV, and contact info
course-optimization
Using Linear Programming to Optimize Course Selection: mixed-integer programming, constraint satisfaction, objective function minimization.
covid-modeling
Early Epidemiological Model Parameters for COVID-19: system of ordinary differential equations (SIR model), least-squares model fitting, parameter estimation, epidemic simulation.
cs107test
cs207-FinalProject
VayDiff: A Python Package for Automatic Differentiation
electricity-consumption
Modeling Electricity Consumption in the US: multiple linear regression (MLR) with normal errors, hypothesis testing (t-test, partial F-test), Box-Cox transformation, model inference.
denn
Unsupervised neural networks for solving differential equations
blakebullwinkel's Repositories
blakebullwinkel/2020-Election-Prediction
Predicting the Outcome of the 2020 Election: k-NN, logistic regression, LASSO/ridge regularization, model fairness evaluation
blakebullwinkel/am207_final_project
Repo for AM207 final project on implementing the method proposed in Fast Adaptation with Linearized Neural Networks
blakebullwinkel/covid-modeling
Early Epidemiological Model Parameters for COVID-19: system of ordinary differential equations (SIR model), least-squares model fitting, parameter estimation, epidemic simulation.
blakebullwinkel/blakebullwinkel.github.io
personal portfolio website for my projects, CV, and contact info
blakebullwinkel/course-optimization
Using Linear Programming to Optimize Course Selection: mixed-integer programming, constraint satisfaction, objective function minimization.
blakebullwinkel/cs107test
blakebullwinkel/cs207-FinalProject
VayDiff: A Python Package for Automatic Differentiation
blakebullwinkel/electricity-consumption
Modeling Electricity Consumption in the US: multiple linear regression (MLR) with normal errors, hypothesis testing (t-test, partial F-test), Box-Cox transformation, model inference.
blakebullwinkel/getmarble
App website for Marble
blakebullwinkel/google-research
Google Research
blakebullwinkel/ihmc_assignment
Repo for the Jupyter notebooks I am using for a flight simulation data science project at the Institute for Human and Machine Cognition (IHMC) during January 2020.
blakebullwinkel/language-tutor
LLM-powered language tutor to practice speaking, reading, and writing.
blakebullwinkel/pepsico-data-science
R file and Excel spreadsheet for submission to the 2020 PepsiCo Innovation Challenge
blakebullwinkel/playground
blakebullwinkel/PyRIT
The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.
blakebullwinkel/snartools
Collection of Python tools that allow Williams students to optimize their food orders at dining facilities.
blakebullwinkel/woof-woof-app
React web app that uses backend NLP and computer vision models, allowing users to "chat" with and find visually similar dogs in the Austin Pets Alive animal shelter.