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These are the code and data for the paper: DeepSeg: Deep Learning-based Activity Segmentation Framework for Activity Recognition using WiFi, IEEE Internet of Things Journal, 2020. https://ieeexplore.ieee.org/document/9235578

Inforfinder is a tool made to collect information of any domain pointing at a server (ip,domain,range,file).

Self-Supervised Video Forensics by Audio-Visual Anomaly Detection Chao Feng, Ziyang Chen, Andrew Owens University of Michigan, Ann Arbor

vuer is an R package that makes it easy to use Vue components and build Vue apps.

The Behaviors Toolkit for Xamarin is an easy-to-use means of adding common and reusable interactivity to your Xamarin applications with minimal code. Use of the Behaviors Toolkit for Xamarin is governed by the MIT License.

please don't actually USE these dotfiles :sob:

NOTICE: WORKBENCH IS MAINTENANCE ONLY MODE. NO NEW FEATURES WILL BE ADDED AND ONLY SECURITY ISSUES WILL BE FIXED. API VERSIONS WILL CONTINUE TO BE UPDATED.

Public transit arrivals on a 128×32 HUB75 LED display, driven by a Raspberry Pi. This is the Python-side renderer that calls the arrivals-kmp CLI for data.

Merge all of your pages automatically.

Pytorch Implementation of The Paper: A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models

Lightweight, zsh-native video export manager — profile-driven FFmpeg exports, persistent zsh completion, profile import/export, and safe defaults for Instagram & YouTube workflows.

⚛️ A minimal React Vite TypeScript starter template with 📁 file-based routing and 📝 Biome for the linter formatter

This repository has the contracts that implement the wrapped tokens.

Displays information on what Pokémon are weak, or strong against the current selected Pokémon