Giter VIP home page Giter VIP logo

dl_paper_implementation's Introduction

DL Papers

Image Classification

  • ImageNet Classification with Deep Convolutional Neural Networks [pdf] [code]
  • Very Deep Convolutional Networks for Large-Scale Image Recognition [pdf] [code]
  • Deep Residual Learning for Image Recognition [pdf] [code]
  • Going Deeper with Convolutions [pdf] [code]
  • Dynamic Routing Between Capsules [pdf] [code]
  • Exploring Randomly Wired Neural Networks for Image Recognition [pdf] [code]
  • AN IMAGE IS WORTH 16X16 WORDS:TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE [pdf] [code]
  • Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet [pdf] [code]
  • Training data-efficient image transformers & distillation through attention [pdf] [code]

Generative Models

  • Generative Adversarial Networks [pdf] [code]
  • Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks [pdf] [code]
  • Image-to-Image Translation with Conditional Adversarial Networks [pdf] [code]
  • ViTGAN: Training GANs with Vision Transformers [pdf]

Super Resolution

  • Image Super-Resolution Using Deep Convolutional Networks [pdf] [code]
  • Accurate Image Super-Resolution Using Very Deep Convolutional Networks [pdf] [code]
  • Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network [pdf]
  • Deeply-Recursive Convolutional Network for Image Super-Resolution [pdf]
  • Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network [pdf] [code]
  • Enhanced Deep Residual Networks for Single Image Super-Resolution [pdf] [code]
  • ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks [pdf] [code]
  • RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution [pdf]
  • Efficient Deep Neural Network for Photo-realistic Image Super-Resolution [pdf] [code]
  • Learning Texture Transformer Network for Image Super-Resolution [pdf]

Segmentation

  • U-Net: Convolutional Networks for Biomedical Image Segmentation [pdf] [code]
  • TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation [pdf]
  • SepViT: Separable Vision Transformer [pdf]

Object Detection

  • End-to-End Object Detection with Transformers [pdf]

Machine Translation

  • Sequence to Sequence Learning with Neural Networks [pdf] [code]
  • NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE [pdf] [code]
  • Attention Is All You Need [pdf] [code]

dl_paper_implementation's People

Contributors

onebottlekick avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.