Tristan's starred repositories
Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
awesome-flipperzero
🐬 A collection of awesome resources for the Flipper Zero device.
unleashed-firmware
Flipper Zero Unleashed Firmware
transfer.sh
Easy and fast file sharing from the command-line.
diffusionbee-stable-diffusion-ui
Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
stemroller
Isolate vocals, drums, bass, and other instrumental stems from any song
psitransfer
Simple open source self-hosted file sharing solution.
svelte-i18n
Internationalization library for Svelte
mac-monitor
Red Canary Mac Monitor is an advanced, stand-alone system monitoring tool tailor-made for macOS security research. Beginning with Endpoint Security (ES), it collects and enriches system events, displaying them graphically, with an expansive feature set designed to reduce noise.
send-instances
🌍 A list of public Send instances. Mirror.
osa-imessage
Send and receive iMessages with nodejs
ParkingLot
Parking Space Detection in OpenCV
parking_lot_monitoring_system_OpenCV
This repo finds free parking spaces in the parking lot using only image processing
Screen-Recorder-with-webcam
Record your screen and cam both. Create your presentation, youtube videos, coding tutorials. Works Offline!
Parking-Detector
Parking Detector is a computer vision application built with Python that detects available parking spots and keeps track of occupied spots in real-time allowing drivers to quickly find available spots.
commute-time
record commute time from two distances with google directions API
Parking-Spot-Detection-System
Parking spot detection system using openCV image processing to detect vehicles in a parking spot.
homebridge-automation-bluetooth-presence
Manage people presence based on Bluetooth devices (phones, watches, tables, bluetooth keychain tags)
Sparkle
Parking issues are common throughout the entire world. In the United States alone the estimated damages for time wasted finding a parking space is billions of dollars and that is without including gas costs or air pollution. Today there are a few solutions to this problem, but they require expensive hardware and therefore cannot be implemented everywhere. To solve this problem, we created deep learning models to differentiate between empty and occupied parking spaces, without using a lot of hardware – only one camera is needed.