Carter Fendley's repositories
deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Sentimental
Messing around with NLP stuff via PyTorch
coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
carterfendley.github.io
A simple minimalist one page portfolio. Link:
core-moos
A very light weight, easy to use middleware. You will need core-moos above all other components
moos-ivp-agent-1
Model agnostic ML tooling for MOOS-IvP
moos-ivp-agent
Model agnostic ML tooling for MOOS-IvP
website-2016-2021
Profile page
moos-ivp-pLearn
A platform integrating Reinforcement Learning with MOOS-IvP
lil-log
Lilian's Blog
typed_shmem
Simple, typed shared memory crate.
RL-Expirments
Originally followed this tutorial, https://www.youtube.com/watch?v=yMk_XtIEzH8. Have been adding my own stuff since
sidey
Sidey is a simple and minimalistic jekyll blogging theme.
MyBrainWontRemberThis
Stuff I need but won't remember
essential-moos
a set of useful applications that leverage the core-moos communications layer
aircrack-ng
WiFi security auditing tools suite
codebreaker
"Hacking Secret Ciphers with Python" programs
pyfrc
python3 library designed to make developing RobotPy-based code easier!
2016-SwerveDrive
1418's 2016 offseason project dedicated to exploring new topics, such as vision tracking, swerve drive, and turrets.
2016-robot
Robot Code for the 2016 FRC Season
frc1418.github.io
Website of FIRST Team 1418. All content in :master is live at http://1418.team/