Wide Residual Networks implemented in TensorLayer and TensorFlow.
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Updated
Oct 30, 2016 - Python
Wide Residual Networks implemented in TensorLayer and TensorFlow.
Modular Residual Networks implemented in TensorFlow. Easily change hyperparameters in a few lines.
Comparison of TensorFlow Wrappers
TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks" - (EASY to READ)
Generative Adversarial Text to Image Synthesis / Please Star -->
U-Net: Convolutional Networks for Image Segmentation by TensorFlow
Resource allocation demo using prescriptive analytics.
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
Some simple examples of reinforcement learning,using tensorlayer
practice deep learning with pytorch/tensorflow/tensorlayer/keras and so on.
Unsupervised Image to Image Translation with Generative Adversarial Networks
Variational auto-encoder trained on celebA . All rights reserved.
Contains various chatbot implementations for both retrieval-based and generative agents.
Implementation of Deep Convolutional Generative Adversarial Networks in tensorflow and tensorlayer
TensorFlow and Deep Learning Tutorials
tensorflow example by tensorlayer
A TensorFlow Implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks" - (EASY to READ)
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