A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

DCGAN in Tensorflow Tensorflow implementation of Deep Convolutional Generative Adversarial Networks which is a stabilize Generative Adversarial Networks. The referenced torch code can be found here. Brandon Amos wrote an ex

Related Repos



MG2033 MobileNet An implementation of Google MobileNet introduced in TensorFlow. According to the authors, MobileNet is a computationally efficient CNN architecture designed specifically for mobile devices with very limited computing po
 

burningion Rich Man's Deep Learning Camera Building a Self Contained Deep Learning Camera with the NVIDIA Jetson and Python Installation You'll need to have OpenCV 3 and Darkflow installed on the NVIDIA Jetson TX1 or TX2. You
 

JunYeopLee A Tensorflow implementation of Capsule networks Requirements tensorflow >= 1.4 (Probably 1.3 should work, too, though I didn't test it) numpy pillow scipy Capsule network I tried to implement
 

modAL-python Modular Active Learning framework for Python3 Page contents Introduction Active learning from bird's-eye view modAL in action From zero to one in a few lines of code Replacing parts quickly Replacing
 

diegoalejogm gans: Generative Adversarial Networks Multiple Generative Adversarial Networks (GANs) implemented in PyTorch and Tensorflow. Check out this blog post for an introduction to Generative Networks. Vanilla GANs Vanill
 

higgsfield Capsule-Network-Tutorial This is easy-to-follow Capsule Network tutorial with clean readable code: Capsule Network.ipynb Dynamic Routing Between Capsules Understanding Hinton’s Capsule Networks blog posts: Part I: Intuition.
 

fyquah95 Messenger Solitaire Bot A bot to play solitaire in messenger. Usage Compiling: make Running: make run Source Code Organization There are a few components to it: JNI interface with the Robot class to
 

devendrachaplot Gated-Attention Architectures for Task-Oriented Language Grounding This is a PyTorch implementation of the AAAI-18 paper: Gated-Attention Architectures for Task-Oriented Language Grounding Devendra Singh Chaplot, Kanthashree Mys