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



carpedm20 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
 

dmonn Deep Convolutional Generative Adversarial Networks with TensorFlow In this tutorial, we will try to build a GAN that is able to generate human faces with TensorFlow. Sounds scary, doesn’t it? This repository contains source code
 

jtoy Awesome TensorFlow A curated list of awesome TensorFlow experiments, libraries, and projects. Inspired by awesome-machine-learning. What is TensorFlow? TensorFlow is an open source software library for numerical comp
 

MindorksOpenSource Android TensorFlow Machine Learning Example About Android TensorFlow Machine Learning Example This is an example project for integrating TensorFlow into Android application How to build TensorFlow project t
 
Popular
3.5k

tensorflow TensorFlow Probability TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of probabilistic meth
 

tensorflow TensorFlow I/O TensorFlow I/O is a collection of file systems and file formats that are not available in TensorFlow's built-in support. At the moment TensorFlow I/O supports the following data sources: tensorflow
 

BlackHC Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).
 

hunglc007 tensorflow-yolov4-tflite YOLOv4 Implemented in Tensorflow 2.0. Convert YOLO v4, YOLOv3, YOLO tiny .weights to .pb, .tflite and trt format for tensorflow, tensorflow lite, tensorRT. Download yolov4.weights file: https://drive.g
 

zaidalyafeai Implementation of Small Projects using TensorFlow.js check this tutorial on TensorFlow.js https://medium.com/tensorflow/a-gentle-introduction-to-tensorflow-js-dba2e5257702 pix2pix Fast image-to-image check demo https:
 

imsheridan CogDL-TensorFlow CogDL-TensorFlow: The TensorFlow Implementation of CogDL. With Support from Professor Jie Tang. CogDL CogDL is a graph representation learning toolkit that allows researchers and developers to easil
 

icoxfog417 Tensorflow QRNN QRNN implementation for TensorFlow. Implementation refer to below blog. New neural network building block allows faster and more accurate text understanding Dependencies TensorFlow: 0.12.0 scik
 

tensorflow The tensorflow-haskell package provides Haskell bindings to TensorFlow. This is not an official Google product. Documentation https://tensorflow.github.io/haskell/haddock/ TensorFlow.Core is a good place to start.
 

tensorflow TensorFlow Rust TensorFlow Rust provides idiomatic Rust language bindings for TensorFlow. This project is still under active development and not guaranteed to have a stable API. This is especially true because the TensorFlow
 

raviqqe tensorflow-qnd Quick and Dirty TensorFlow command framework tensorflow-qnd is a TensorFlow framework to create commands to train and evaluate models and make inference with them. The framework is built on top of tf.c
 

BruceDone tensorflow-demos all kinds of demos of tensorflow code environment python: 2.7.12 system: ubuntu 14.04 tensorflow: tensorflow-gpu==1.0.1 (if you do not has the gpu ,just use the cpu version) demo l
 

CodingTrain ColorClassifer-TensorFlow.js Community version of TensorFlow.js Color Classifier Playlist: 7.1: TensorFlow.js Color Classifier: Crowdsourcing Data 7.2: TensorFlow.js Color Classifier: Saving Data to Firebase 7.3: Te
 

tensorflow TensorFlow.js Layers: High-Level Machine Learning Model API A part of the TensorFlow.js ecosystem, TensorFlow.js Layers is a high-level API built on TensorFlow.js Core, enabling users to build, train and execute deep learn
 

ahmetozlu TensorFlow Object Counting API The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. QUICK DEMO Cumulati
 

BMW-InnovationLab Tensorflow CPU Inference API For Windows and Linux This is a repository for an object detection inference API using the Tensorflow framework. This repo is based on Tensorflow Object Detection API. The Tensorflow version used is
 

hzy46 fast-neural-style-tensorflow A tensorflow implementation for Perceptual Losses for Real-Time Style Transfer and Super-Resolution. This code is based on Tensorflow-Slim and OlavHN/fast-neural-style. Samples: