sampyl
MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
I build things - typically around online education, AI/ML, data science, etc. Formerly teaching at Udacity and Kaggle.
MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
Blog posts for matatat.org
Functional machine learning for fun
Character RNN implemented in PyTorch
Probabilistic Matrix Factorization in PyTorch
Natural Language Generation with a denoising autoencoder
SeekWell, SQL for Data Analysts
Files for my talk "An Open Framework for Secure and Private AI" presented at ODSC East 2019
Style Transfer implemented in PyTorch
ML Workshops @ Udacity
Little Markov Chain Monte Carlo library built on PyTorch
Documentation bot leveraging Deep Lake and GPT