nclgbd Goto Github PK

animal-crossing-bot

asl-alphabet

barelyadequate

updated version

ben-bot

block-party

For the 2019 Block Party at UWT. Detects the face of a person walking by and adds polar bear ears to their face, similar to a SnapChat filter.

choir

A project for demonstrating Git and Github

coca-pytorch

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

data-augmentation-for-feature-extraction

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

drawsvg

CMU 15-462/662: DrawSVG

dubs-bot

The Dubs Bot for the Official HuSCII Discord Server.

ffmpeg

Mirror of git://source.ffmpeg.org/ffmpeg.git

filter-demo

Uses OpenCV and Python to add filters to people's faces through a USB WebCam. Adapted from the original Block-Party repo, which is now private.

first-robotics-2015

Complete code for First Robotics Competition for Lassiter High School.

geese-object-localization

This is the code used to create and use the model to detect geese. Trained using Google Colab.

genegpt

generativemodels

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

geolifeclef

GeoLifeCLEF challenge toolkit and starter code

github-actions-test

github-demo

This is the demo to be used to show how forking works!

guided-diffusion

hands-on-machine-learning-oreily

These are notes from the Hands-On Machine Learning with Scikit-Learn and TensorFlow.

highfrequencytwister

Rubik's cube solving robot that set a world record

introduction-to-statistical-learning-labs

This has all of the labs done throughout Gareth James' "An Introduction to Statistical Learning" textbook.

kangaroo-mask-rcnn

https://machinelearningmastery.com/how-to-train-an-object-detection-model-with-keras/

kgat-pytorch

little-amber

Bot for my friend Amber's server. Slowly becoming a community effort :AmberHappy:

luna-bot

Homemade and homegrown doggo made to keep oddly specific stats on your friends.

ml-data-configurations

Contains a template for how to expect data to be laid out.

ml-github-actions

This is my repo for my IaC code. Everything in here is a template. To use, simply go to the release page and download one of the tags.