Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course using Google Colab platform.
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Updated
Apr 12, 2019 - Jupyter Notebook
Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course using Google Colab platform.
Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018
Try out deep learning models online on Google Colab
DB (Real-time Scene Text Detection with Differentiable Binarization) implementation in Keras and Tensorflow
🤖🤖🤖 Question Answering with arXiv papers at scale with a Telegram bot
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)
crnn text recognition CTC, Attention ,efficientnet, BiLSTM,OCR model / tf(tensorflow, keras) 2.3.1
Google Colaboratory Notebooks and Repositories (by @firmai)
Generates raw LaTex code of given PDF formula images using CV
Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Continual Learning tutorials and demo running on Google Colaboratory.
This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.
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