Showing 141-160 of 426 projects
A Python-based OCR library that uses CTPN, CRNN, and CTC to perform text detection and recognition in natural scenes.
This is a fully automated (audio) video translation project using Whisper for speech recognition and AI models for subtitling.
A web-based audio transcription and translation tool powered by Whisper AI models, built with Svelte.
Open-source biometrics and face recognition library written in C++.
Standalone Windows executables for Whisper speech-to-text & diarization without Python setup.
A lightweight and generalist NER model for extracting entities from text, with support for prompt-tuning.
Deep learning model for extracting & analyzing table structures from PDFs and images with datasets.
A library for single- and multi-modal speaker verification, recognition, and diarization.
A Chinese OCR (Optical Character Recognition) library built using CTPN, DenseNet, and CTC.
An open-source library for multilingual automatic speech recognition with word-level timestamps and confidence.
A self-hosted alternative to Google Photos with features like face detection and object recognition.
Offline private voice assistant for many human languages, built with privacy and security in mind.
A versatile NLP toolkit for text mining and preprocessing, supporting tasks like sentiment analysis, entity extraction, and keyword summarization.
A speech recognition library for the web, allowing developers to build AI-powered applications.
An open-source deep learning toolkit for building Speech-to-Text models and deploying them easily.
Optical character recognition for Japanese manga comics, built with Python and deep learning.
A collection of Jupyter notebooks with Python code and notes for the book Pattern Recognition and Machine Learning.
A diverse and well-annotated dataset for license plate detection and recognition
A powerful multi-modal large language model family for building advanced AI chatbots and visual recognition models.
A curated list of resources for text detection/recognition with deep learning methods
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