DB (Real-time Scene Text Detection with Differentiable Binarization) implementation in Keras and Tensorflow
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Updated
Feb 10, 2020 - Python
DB (Real-time Scene Text Detection with Differentiable Binarization) implementation in Keras and Tensorflow
This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.
Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
Google Colaboratory Notebooks and Repositories (by @firmai)
Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018
Generates raw LaTex code of given PDF formula images using CV
Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course using Google Colab platform.
Continual Learning tutorials and demo running on Google Colaboratory.
🤖🤖🤖 Question Answering with arXiv papers at scale with a Telegram bot
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Collection of google colaboratory notebooks for fast and easy experiments
Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.
Try out deep learning models online on Google Colab
crnn text recognition CTC, Attention ,efficientnet, BiLSTM,OCR model / tf(tensorflow, keras) 2.3.1
Machine translation project with a practical approach, the project will incorporate an open source OCR engine so we can feed images in the source language(Chinese)
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