Showing 1-8 of 8 projects
A deep learning-based Chinese speech recognition system for developers working on AI-powered speech applications.
A Python-based OCR library that uses CTPN, CRNN, and CTC to perform text detection and recognition in natural scenes.
A Chinese OCR (Optical Character Recognition) library built using CTPN, DenseNet, and CTC.
A deep learning-powered invoice processing platform built with Python, Flask, and Keras/TensorFlow.
An experimental OCR project implementing a CNN+BLSTM+CTC architecture for vision-based text recognition.
A high-performance and lightweight PyTorch-based license plate recognition framework.
A TensorFlow-based CRNN model for scene text recognition, useful for vibe coders working on OCR and computer vision AI.
TensorFlowASR is an almost state-of-the-art automatic speech recognition library in TensorFlow 2 for vibe coders.
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