验证码识别
Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.
PyTorch CTC Decoder bindings
The official repository of the Eesen project
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
百度云魅族深度学习应用大赛
Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]
Application of Connectionist Temporal Classification (CTC) for Speech Recognition (Tensorflow 1.0 but compatible with 2.0).
A fully convolution-network for speech-to-text, built on pytorch.
VietASR - Vietnamese Automatic Speech Recognition
End-to-End Vietnamese Speech Recognition using wav2vec 2.0
Speech Recognition model based off of FAIR research paper built using Pytorch.
Handwritten Kazakh and Russian (HKR) database for text recognition
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