Mat Leonard

sampyl. MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice

blog_posts. Blog posts for matatat.org

xaby. Functional machine learning for fun

pytorch-charRNN. Character RNN implemented in PyTorch

pmf-pytorch. Probabilistic Matrix Factorization in PyTorch

NLG_Autoencoder. Natural Language Generation with a denoising autoencoder

seekwell. SeekWell, SQL for Data Analysts

secure-private-ai. Files for my talk "An Open Framework for Secure and Private AI" presented at ODSC East 2019

pytorch-style-transfer. Style Transfer implemented in PyTorch

ml_workshop_udacity. ML Workshops @ Udacity

pytorch-mcmc. Little Markov Chain Monte Carlo library built on PyTorch

webinars. Jupyter Notebook

docbot. Documentation bot leveraging Deep Lake and GPT

tufty. User friendly plotting library for Python

synthwave. Streaming synthetic data for Good

personal_site. Personal blog

task_switch. Code for simulating task switching behavior

gans. Various GANs things

PySyft. A library for encrypted, privacy preserving deep learning

sparse. Code for analyzing spiking data for sparse coding

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

Udacity_MLND. Project materials for Udacity's Machine Learning Nanodegree

intro-to-analysis. Introduction to programming and data analysis for new scientists.

spikesort. A package used for spike sorting or other unsupervised clustering problems.

style-based-gan-pytorch. Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

wm_paper. IPython notebooks and other code used in creating my paper on working memory.

Udacity_DAND_P1. Repository for Udacity Data Analyst Nanodegree Project 1

pydagogy. Python library for automated code checking in online courses