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sjchoi86
366 Stars 124 Forks 90 Commits 3 Opened issues

Description

Little More Advanced TensorFlow Implementations

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Advanced TensorFlow

Collection of (Little More + Refactored) Advanced TensorFlow Implementations. Try my best to implement algorithms with a single Jupyter Notebook.

AutoEncoder

  • Denoising AutoEncoder
  • Convolutional AutoEncoder (using deconvolution)
  • Variational AutoEncoder ### Adversarial Variational Bayes
  • AVB on 2-dimensional Toy Example ### Basics
  • Basic Classification (MLP and CNN)
  • Custom Dataset Generation
  • Classification (MLP and CNN) using Custom Dataset
  • OOP Style Implementation of MLP and CNN ### Class Activation Map
  • Pretrained Network Usage with TF-SLIM
  • Class Activation Map with Pretrained Network ### Char-RNN
  • Preprocess Linux Kernel Sources
  • Train and Sample with Char-RNN ### Domain Adaptation
  • Domain Adversarial Neural Network with Gradient Reversal Layer ### Generative Adversarial Network
  • Deep Convolutional Generative Adversarial Network with MNIST ### Mixture Density Network
  • Mixture Density Network
  • Heteroscedastic Mixture Density Network ### Reinforcement Learning
  • Model Based RL (Value Iteration and Policy Iteration) ### TF-SLIM
  • MNIST Classification with TF-SLIM ### Super Resolution
  • Super-resolution with Generative Adversarial Network

Requirements

  • Python-2.7
  • TensorFlow-1.0.1
  • SciPy
  • MatplotLib
  • Jupyter Notebook

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