An implementation of CRNN (CNN+LSTM+warpCTC) on MxNet for chinese text recognition
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Updated
Feb 11, 2023 - Python
An implementation of CRNN (CNN+LSTM+warpCTC) on MxNet for chinese text recognition
Forked from weinman/cnn_lstm_ctc_ocr for the ICPR MTWI 2018 challenge 1
License plate recognition . Model training and conversion to tflite
A simplified version of line text recognition problem, a character recognizer.
Deep learning framework for network intrusion detection using CNN, RNN (LSTM), and Hybrid architectures on CIC-IDS2017.
This project is a handcrafted end-to-end Optical Character Recognition (OCR) pipeline built to transcribe my handwritten journal entries into digital text—using PyTorch, Faster R-CNN, AWS Lambda, and iOS Shortcuts. It's a personal and technical showcase of deep learning, MLOps, and full-stack AI deployment. Includes in-depth technical report.
Tensorflow implementation of OCR (Extracting words from images of the text) using CNNs and BiLSTMs.
Detect network intrusions with deep learning using CNN, LSTM, and hybrid models on CIC-IDS2017 data.
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