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Digit recognition with neural network
A Swift library for macOS automation — mouse, keyboard, screenshots, image recognition, and AI-powered agents.
- macos
- swift
- automation
- computer-use-agent
Ruby Binding for Stanford Pos-Tagger and Name Entity Recognizer
Examples of Tensorflow Lite on Android
- tensorflow
- tensorflow-lite
- kotlin-android
- android
Push-to-talk voice dictation for Linux. 100% local, multilingual (25+ languages), with speaker diarization. Qt frontend, Rust backend on NVIDIA Parakeet via ONNX Runtime. KDE Plasmoid integrated.
- asr
- linux
- nvidia
- parakeet
Pattern recognition package in Go lang.
Personalized machine learning on the smartphone
- on-device
- deep-learning
- sensor-fusion
- activity-recognition
MatchFlow is a full-stack invoice processing and purchase-order matching system—built on Clean Architecture with a React+Nginx front-end, a .NET 6 API back-end, Azure Form Recognizer OCR, Azure Blob Storage, and Docker Compose for one-command local setup.
- azure
- docker-compose
- dotnet-core
- nginx-proxy
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- artificial-intelligence
- blazor
- face-detection
- face-recognition
an AWS CDK construct for having passwordless authentication using Cognito userpool
- aws
- cognito
- passwordless
- serverless
Named entity recognition with Stanford NER and Ruby
Capacitor plugin for speech recognition.
Practice recognizing chords in this Rust/Yew/Webassembly app
- yew
- music-theory
- music-notation
- wasm
Not just a UI plugin — manage the cognitive load of your own Neovim setup
- developer-tools
- keybindings
- lua
- menu
An example app that demos how to use TFLite to do automatic speech recognition on-device
Lightweight on-device keyword spotting engine for iOS using CoreML and real-time audio streaming.
Micropython binding for the ESP32 DL AI vision models like face detection / recognition, imagenet classifier or pedestrian (human) detection
- esp32
- face-detection
- imagenet-classifier
- micropython
Open source hackathon management system
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.
- asr
- conformer
- coreml
- ios
Simple Image Recognition Blazor Server app
- image-recognition
- computer-vision
- azure-computer-vision
- blazor-server
Pan recognizer and core utils for the ember-mobile-* addons.