hunkim / deep_architecture_genealogy

Deep Learning Architecture Genealogy Project

Deep Architecture Genealogy

There are so many new models and architectures. If you find something interesting and worth paying attention to, please send us a pull requests (PR) and write issues. README.md is automatically generated. Please send PRs on the Neural Net Arch Genealogy.txt file.

Mindmap Coggle Link

https://coggle.it/diagram/Wf5mYoJbsgABUF9P

Text Version

This is automatically generated. Please send a PR on the Neural Net Arch Genealogy.txt file.

• Reinforcement Learning Algorithms
  • A3C, '16.02.06
  • DARLA, '17.07.26
  • ACTKR, '17.08.17
  • c51, '17.10.27
• CNN
  • AlexNet, '12.12
  • VggNet, '14.09
  • GoogLeNet, '14.09
  • ResNet, '15.12
  • DenseNet, '16.08
  • SENet: Squeeze-and-Excitation Networks, '17.09
  • Object Detection
    • R-CNN
    • Fast R-CNN
    • Faster R-CNN
    • Mask R-CNN
    • YOLO
    • SSD
    • R-FCN
  • Semantic Segmentation
    • FCN
    • DeconvNet
    • DeepLab
    • U-Net
  • Super-resolution
    • MemNet
    • FSRCNN
    • SRCNN
    • VDSR
    • DRCN
    • LabSRN
    • EDSR
  • TTS
    • Wavenet, '16.09.12
• Generative Models
  • Autoregressive models
    • MADE, '15.02.12
    • PixelRNN, '16.01.25
    • NADE, '16.05.07
    • PixelCNN, '16.06.16
    • PixelCNN++, '17.01.19
  • Latent variable models
    • VAE, '13.12.20
      • CVAE, '14.06.20
      • AAE, '15.11.18
      • AVB, '17.01.17
      • VQ-VAE, '17.11.2
    • GAN, '14.06.10
      • Variants
        • CGAN, '14.11.06
        • DCGAN, '15.11.19
        • infoGAN, '16.06.12
        • EBGAN, '16.09.11
        • ACGAN, '16.10.30
        • WGAN, '17.01.26
        • BEGAN, '17.02.27
        • WGAN-GP, '17.03.31
        • TripleGAN, '17.03.07
      • Applications
        • Pix2Pix, '16.11.21
        • PPGN, '16.11.30
        • StackGAN, '16.12.10
• RNN
  • LSTM, '97.11
  • GRU, 14.11
  • ACT: Adaptive Computation Time, '17.05
  • S2S: RNN Encoder-Decoder, '14.06
    • Attention: Jointly Learning to Align, '14.09
      • Effective Approaches to Attention, Luong et al. '15.08
      • DCN: Dynamic Coattention Networks, '16.08, DCN+, '17.08
      • Transformer: Attention Is All You Need, '17.06
• Capsule Net, '17.10
• Memory Networks
  • Neural Programming
    • Neural Turing Machine,'14.10
    • Neural Random-Access Machines,'16.02
    • Hierarchical Attentive Memory, '16.02
    • Neural GPUs Learn Algorithms, '16.03
    • Neural Programmer,'16.08
    • Neural Module Networks, '16.06
    • Hybrid Computing, '16.10
  • Memory Networks,'14.10
  • End-to-End Memory Network,'15.03
  • DMN: Dynamic Memory Network, '16.03, DMN+, '16.04

Contributions

Your pull requests and issues are always welcome.