ncnn is a high-performance neural network inference framework optimized for the mobile platform
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Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
- speech-recognition
- asr
- voice-recognition
- speech-to-text
Formerly KrillinAI, VideoTranslation and Dubbing Tool for 120+ Languages. Open-source AI workspace for creators, powered by Codex. Video downloader, video translation, create videos, images, audios, and edits with Agents in one place. For your Social Media like YouTube, TikTok, Instagram, etc.
- video-transcription
- video-translation
- dubbing
- localization
Production ready toolkit to run AI locally
The Swift machine learning library.
Fast and simple OCR library written in Swift
- ocr
- swift
- ocr-library
- optical-character-recognition
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
:dancer: Real-time single person pose estimation for Android and iOS.
- pose-estimation
- tensorflow
- deep-neural-networks
- cpm
BYOK voice recording companion with ASR transcription, speaker diarization, AI summaries, and local ASR endpoint support.
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
- core-ml
- mps
- metal
- machine-learning
Fast multilayer perceptron neural network library for iOS and Mac OS X
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
The MobileNet neural network using Apple's new CoreML framework
- core-ml
- machine-learning
- mobilenet
- ios
Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.
- swift
- swift-brain
- neural-network
👀 iOS11 demo application for age and gender classification of facial images.
- ios
- swift
- swift4
- vision
Translated[iFlytek Simultaneous Interpretation] free alternative — local system audio real-time translation and transcription for international conferences, foreign-language podcasts, game voice chat, and raw (unsubtitled) films and shows, with on-screen floating window, live subtitles, and offline recognition. Offline real‑time Language transcription, floating live subtitles.
- audio-transcription
- audio2text
- cross-platform
- offline-first
Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.
- coreml
- prisma
- neural-network
- ios
Speech, voices, stories, audiobooks, dubbing and transcription, made on your Mac. Free and open source.
- speaker-diarization
- speech-synthesis
- speech-to-text
- text-to-speech
[WACV 2027] ComplexSync: High-Fidelity and Real-Time Lip Sync in Complex Scenarios
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
ChatGPT cross-platform client made with the Quasar Framework
Lightweight on-device keyword spotting engine for iOS using CoreML and real-time audio streaming.