This repository contains the code I developed while learning PyTorch.
- Official PyTorch Tutorial : https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html
- Very Useful PyTorch Tutorial : https://github.com/yunjey/pytorch-tutorial
- Example 1: Logistic Regression and Feedforward Neural Networks (single-layer and multi-layer)
- Example 2: Dynamic Programming: Viterbi and Forward-Backward algorithms
- Example 3: Convolutional Neural Network
- Example 4: Recurrent Neural Networks: BILSTM and CNN+BILSTM
- Example 5: Transliteration using sequence-to-sequence model: Vanilla LSTM Encoder-Decoder and BILSTM Encoder and Decoder with Attention Mechanism - Based on the PyTorch Tutorial
- Examples 1,2 and 4: OCR data set from http://ai.stanford.edu/~btaskar/ocr/
- Example 5: Arabic-English transliteration data from googlei18n
João Guerreiro/ @joaofilipedg