Deep Learning and Reinforcement Learning Library for Scientists and Engineers
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Updated
Oct 10, 2020 - Python
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Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
HyperPose: Real-time Human Pose Estimation
Chatbot in 200 lines of code using TensorLayer
TensorFlow and Deep Learning Tutorials
Generative Adversarial Text to Image Synthesis / Please Star -->
《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
U-Net Brain Tumor Segmentation
How to use TensorLayer
A Comprehensive Reinforcement Learning Zoo for Simple Usage
The Simplest DCGAN Implementation
A curated list of dedicated resources and applications
Variational auto-encoder trained on celebA . All rights reserved.
An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
TensorFlow (TensorLayer) Implementation of Image Captioning
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
A Computation Graph Virtual Machine Based Deep Learning Framework
Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.
Re-implement CycleGAN in Tensorlayer
Unsupervised Image to Image Translation with Generative Adversarial Networks
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
Wide Residual Networks implemented in TensorLayer and TensorFlow.
Spatial Transformer Nets in TensorFlow/ TensorLayer
Modular Residual Networks implemented in TensorFlow. Easily change hyperparameters in a few lines.
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