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Name: Preston Parry
Type: User
Company: auto.ml
Bio: Rock Climber, Biker, Community Builder, Teacher, data scientist & machine learning geek
Location: Oakland
Blog: http://PrestonParry.com
Preston Parry's Projects
aerosolve
A machine learning package built for humans.
airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
aplayfullife
aplayfulquestion
Inspiration for exploring each other's minds
arraynbow
a place for the geekiest rainbow you ever did see
art-of-node
a short introduction to node.js
auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
babyparse
BabyParse is a fast, reliable CSV parser based on PapaParse (http://PapaParse.com)
backbone
Give your JS App some Backbone with Models, Views, Collections, and Events
backbonetutorials
As single page apps and large scale javascript applications become more prominent on the web, useful resources for those developers who are jumping the ship are crucial.
bart-employees-in-d3
a data visualization of the salary of BART employees built with D3
bemypermanentperson
benchmarks
Comparison tool
best-brain
betterchatgpt
An amazing UI for OpenAI's ChatGPT (Website + Windows + MacOS + Linux)
blackjack
boto3
proposing a nit fix.
buzzybug
play an evil genius, piloting a bug deeper and deeper into an unsuspecting programmer's code
caffe
Caffe: a fast open framework for deep learning.
catboost
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
chatterbox-client
chatterbox-server
choosefundates
Making picking dates more fun and DRY. http://aPlayfulDate.com
clabel
Redirects to https://github.com/ClimbsRocks/console.label
climbsrocks.github.io
blog
cloudbalance
Our Greenfield Project @ Hack Reactor
concordia
Tracking machine learning: reconciling predictions at training time and serving time, tracking feature inputs and discrepancies over time, and more
console.label
an idea to easily label your console.logs for development
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