mkrupczak3's repositories
Freedoom-for-Android
Freedoom with GZDoom for Android
Coneslayer
A lightweight neural-network for rapid detection of traffic cones
FeedMe-ChatGPT
A simple bash script for feeding your entire codebase to ChatGPT in one buffer
Ask-Your-Document
Extract information from a PDF document using a query written in plain language
Emacs-init
some basic emacs configuration
auto-code-rover
Autonomous program improvement
autodistill
Images to inference with no labeling (use foundation models to train supervised models).
AutoPR
Fix issues with AI-generated pull requests, powered by ChatGPT
BetterChatGPT
An amazing UI for OpenAI's ChatGPT (Website + Windows + MacOS + Linux)
BusyBee
The goal of project Busy Bee is to create a lightweight object detection model capable of identifying Bees and tracking their movements. If possible, we would like to also differentiate between different types of bees.
CS4504-PROJ
This project is deprecated. Please move to mkrupczak3/CS4504-PROJ-P2
CS4504-PROJ-P2
CS4504-PROJ-P2
depthai-model-zoo
DepthAI Model Zoo is a collection of open-source neural network models and datasets created and maintained by DepthAI developers and community
git-graduates
Repo for students to practice fork and merge workflow
gpt4all
gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue
KI-1-AI-Sec.github.io
Website for KSU Senior Project Group AI Security class of 2023
landsar-base
The LandSAR search and rescue platform
navi
compute, storage, and networking infra at home
ODM
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
OpenAthenaIOS
OpenAthena port to iOS
PokemonRedExperiments
Playing Pokemon Red with Reinforcement Learning
Success-with-Nvidia-545-drivers-in-Ubuntu-22.04-LTS
There is a lot of scattered information on how to succeed with Nvidia GPUs and Ubuntu 22.04. This is what worked for us with a 3070 GPU.
TAKTracker
iPhone version of the TAK Tracker Application
the-economist-war-fire-model
Source code and data for The Economist's Ukraine war-fire model
ue5-llama-lora
A proof-of-concept project that showcases the potential for using small, locally trainable LLMs to create next-generation documentation tools.
yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information