Unsupervised Image to Image Translation with Generative Adversarial Networks
-
Updated
Nov 22, 2017 - Python
Unsupervised Image to Image Translation with Generative Adversarial Networks
A short and simple chatbot using sequence to sequence neural network to be used as a base for more advance bot.
TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.
Generative Adversarial Text to Image Synthesis / Please Star -->
Contains various chatbot implementations for both retrieval-based and generative agents.
tensorflow example by tensorlayer
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks" - (EASY to READ)
practice deep learning with pytorch/tensorflow/tensorlayer/keras and so on.
Lab codes of My deep-learning basic tutorials
Resource allocation demo using prescriptive analytics.
Implementation of Deep Convolutional Generative Adversarial Networks in tensorflow and tensorlayer
This aims at generating images on the basis of text inputs by the user. The more we train images , the better results and variety it offers.
Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
A Platform-agnostic Natural Language Processing Application Library
A TensorFlow Implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks" - (EASY to READ)
Some simple examples of reinforcement learning,using tensorlayer
Comparison of TensorFlow Wrappers
A TensorLayer implementation of BiGAN (Adversarial Feature Learning).
Add a description, image, and links to the tensorlayer topic page so that developers can more easily learn about it.
To associate your repository with the tensorlayer topic, visit your repo's landing page and select "manage topics."