Mat Leonard's Projects
Discord bot to answer questions for Aim users
Blog posts for matatat.org
Documentation bot leveraging Deep Lake and GPT
Various GANs things
Introduction to programming and data analysis for new scientists.
⚡ Building applications with LLMs through composability ⚡
Tools and tests used in Kaggle Learn exercises
Repository containing Python code for analyzing electrophysiology data.
ML Workshops @ Udacity
Natural Language Generation with a denoising autoencoder
Repository for holding various notebooks
🙃 A delightful community-driven (with 1,300+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
Personal blog
Probabilistic Matrix Factorization in PyTorch
Python library for automated code checking in online courses
PyMC version 3 (PyMC 2 is in branch 2.3)
A library for encrypted, privacy preserving deep learning
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Character RNN implemented in PyTorch
Little Markov Chain Monte Carlo library built on PyTorch
Proximal Policy Optimization (and other policy gradient agents)
Style Transfer implemented in PyTorch
MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
Files for my talk "An Open Framework for Secure and Private AI" presented at ODSC East 2019
SeekWell, SQL for Data Analysts
Code for analyzing spiking data for sparse coding
A package used for spike sorting or other unsupervised clustering problems.