/paper-implementation

pytorch Implementation of deep learning models

Primary LanguagePython

About

Implementation of AI related papers. It address natural language processing, computer vision, generative adversarial network, speech recognition/synthesis.

Implementation

Natural Language Processing

  • Word2Vec (2013, Efficient Estimation of Word Representations in Vector Space: paper)
  • Transformer (2017, Attention Is All You Need: paper)

Computer Vision

  • AlexNet (2012, ImageNet Classification with Deep Convolutional Neural Networks: paper)
  • VGGNet (2015, Very Deep Convolutional Networks For Large-Scale Image Recognition: paper)
  • GoogleNet (2015, Going Deeper with convolutions: paper)
  • ResNet (2016, Deep Residual Learning for Image Recognition: paper)

Generative Adversarial Network

  • GAN (2014, Genrative Adversarial Nets: paper)
  • DCGAN (2015, Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks paper)

Speech Recognition

  • Conformer (2020, Conformer: Convolution-augmented Transformer for Speech Recognition: paper)