Antony Silvetti-Schmitt's starred repositories
ENet-SAD_Pytorch
Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"
Ultra-Fast-Lane-Detection-v2
Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)
Ultra-Fast-Lane-Detection
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection
docker-ubuntu-vnc-desktop
A Docker image to provide web VNC interface to access Ubuntu LXDE/LxQT desktop environment.
companion-app
AI companions with memory: a lightweight stack to create and host your own AI companions
smart-contract-attack-vectors
A curated list of smart contract attack vectors
github-trends
🚀 Level up your GitHub profile readme with customizable cards including LOC statistics!
react-resume-template
A personal resume website template built with React.js, Typescript, Next.js, and styled with Tailwind css
liquidator
open source version of a liquidation bot running against solend
Song-Vote-on-Algorand-Tutorial
This tutorial is made for programmers of all skill levels looking to get into web3 or development on the Algorand chain. All you’ll need is some basic knowledge of javascript, python, and smart contracts. You’ll pick the rest up. By the end, you will have an understanding of what the entire development pipeline looks like on Algorand and your own functioning dapp! I don’t like getting caught up in formality. I’ll keep the tone of this tutorial relatively casual and focus more on creating a working product than getting bogged down in technicality. Below are all the resources and repositories for this project. I created the project in Notion and then transferred it to the Algorand developer portal.