Terence Parr

dtreeviz. A python library for decision tree visualization and model interpretation.

lolviz. A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations

tensor-sensor. The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

random-forest-importances. Code to compute permutation and drop-column importances in Python scikit-learn models

bookish. A tool that translates augmented markdown into HTML or latex

msds621. Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

simple-virtual-machine. A simple VM for a talk on building VMs

simple-virtual-machine-C. Same as simple-virtual-machine but in C

cs652. University of San Francisco CS652 -- Programming Languages

msds692. MSAN692 Data Acquisition

msds501. Course notes for MSDS501, computational boot camp, at the University of San Francisco

fundamentals-of-deep-learning. Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.

ml-articles. Articles on machine learning

stratx. stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables

msds689. Course syllabus, notes, projects for USF's MSDS689

cs601. USF CS601 lecture notes and sample code

antlr4. Java

website-explained.ai. The website content for explained.ai

msds593. MSDS593 -- Exploratory data analysis (EDA) at the University of San Francisco

msan501-old. USF MSAN501 lecture notes and sample code

mini-markdown. Parser for small subset of markdown

cs345. CS345 Programming Languages at University of San Francisco

antlr4-python3. Python 3 runtime libraries for ANTLR 4

autodx. Simple automatic differentiation via operator overloading for educational purposes

website-mlbook. Public repo to host website for public releases of mlbook html

AniML-java. A Java implementation of random forest machine learning algorithm / classifier

bash-git-prompt. My own variation on the bash git prompt

data-acquisition. Data acquisition certificate (part of http://www.sfdatainstitute.org Course number CAS-DI-DAPY-001.

parrtlib. Parrt's Java library with useful functions

gmdh. Experiment with GMDH polynomial computation-graph nodes

stringtemplate4. Java

msan501-starterkit. A starter kit with tests and skeleton code for the computational analytics boot camp, MSAN501, at the University of San Francisco.

bild. A simple build utility written in Python, though I'll use to build java projects.

java-neural-net. A simple neural network in java using particle swarm optimization.

intellij-plugin-v4. An intellij plugin for ANTLR v4 in Intellij 12.0.x

sample-jetbrains-plugin. A sample jetbrains plugin that uses ANTLR for lexing/parsing.

c_unit. A C unit testing rig in the spirit of junit.

hash-duo. Explore building a hash table with two different hash functions that balances chain length

antlr4-demo-simple-lang. Simple language grammar and listener for talk demos

parrt-rules. List of known parrt rules

playdl. Playing with deep learning

gpu-test. A test of OpenCL use on OS X, XCode. Simple vector squaring.

antlr3. antlr v3 repository (pulled from p4 with history from //depot/code/antlr/antlr3-main

pltvid. A simple library to capture multiple matplotlib plots as a movie.

selfnet. Playing with self-organizing deep learning neural networks

learn-git.

annotation-processor. Java

foobar.

parrt-graph. Starter kit for graph project

demo. test for class

inclass.

website-faculty-parrt. My faculty web page

website-book.explained.ai. HTML