Matthew Johnson

autodidact. A pedagogical implementation of Autograd

pyhsmm. Python

svae. code for Structured Variational Autoencoders

pybasicbayes. Python

pyslds. Python

pylds. some tools for gaussian linear dynamical systems

my-oh-my-zsh. Shell

pyhsmm-autoregressive. autoregressive plugin

pyhsmm-factorial. Python

todo-bash. super-simple command-line todo tracking

ode-diff-notes. Python

probprog. simple probabilistic programming in Scheme

py-manipulate. Python

variational_autoencoder. Python

pplham. Python

matlab-hsmm. Objective-C

py4sid. subspace identification for linear systems

py-diskmemo. Python

spectral_clustering. Python

pykalmanfilters. Python

oryx. Oryx is a library for probabilistic programming and deep learning built on top of Jax.

gaussian-hogwild-gibbs. Python

dirichlet-truncated-multinomial. Python

pyhsmm-collapsedinfinite. Python

information-theory-tutorial. Python

config-vim. my .vim

kalman_grads. Python

pyparticlefilters. Python

yaldapy. yet another LDA implementation

computation-thru-dynamics. Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.

pymattutil. a few miscellaneous functions I've found useful

next.ml. JavaScript

autograd_linalg. improve scipy.linalg and corresponding autograd gradfuns

matlab-fftconv. MATLAB

pyhsmm-beamsampling. beam sampling for pyhsmm

dotfiles. my config files, especially .tmux.conf

axlearn. An Extensible Deep Learning Library

jax-llm-examples. Python

cachedproperties. an experiment in property caching

vim-prefs. my vim prefs, separated so that it can be a bundle

config-fish. my fish configuration

gscholar. Query Google Scholar with Python

pyhsmm-subhmms. Python

jsmattutil. JavaScript

scaling-book. Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs