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CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
Python library for using AWS Cognito. With support for SRP.
Cornelius, le cadre/miroir intelligent : il vous reconnaît, vous écoute et répond en français. Assistant vocal, reconnaissance faciale en local, Home Assistant, météo, transports et beaucoup plus !
Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"
📷 Visual regression test tool.
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Speech synthesis, speech recognition and voice activity detection for voice conversation, in C++ on ggml: Qwen3-TTS, Irodori-TTS, Qwen3-ASR, ReazonSpeech, parakeet and Silero VAD on Metal, Vulkan and the CPU, with an OpenAI-compatible server and live transcription.
Gestouch: multitouch gesture recognition library for Flash (ActionScript) development.
A library to take picture easy, transform your data in different format and save photos in your device
Unified LLM API, structured data outputs with LLMs, and agent SDK - in PHP
Transit for ClojureScript
👀 iOS11 demo application for age and gender classification of facial images.
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
✂️ Detect and crop faces, barcodes and texts in image with iOS 11 Vision api.
Start recording when the user speaks
TranslatedCNN | Keras/PyTorch | CAPTCHA recognition
JSK perception ROS packages
Translated12306 captcha recognition based on deep learning
A curated list of NLP resources for Hungarian
A flutter widget that show the camera stream and allow ML vision recognition on it, it allow you to detect barcodes, labels, text, faces...
🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI
Ruby speech recognition with Pocketsphinx
Materials for GWU DNSC 6279 and DNSC 6290.