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mnist-csv-png

Conversion for the MNIST dataset to CSV and PNG

mnist-loader

models

Models and examples built with TensorFlow

myod

myslim

neural-style

Neural style in TensorFlow! :art:

ntire2017

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

octopus

Free Bootstrap admin dashboard template

python-control

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

pywin32

Python for Windows (pywin32) Extensions

retina-unet

Retina blood vessel segmentation with a convolutional neural network

siamese

Implementing Siamese Network using Tensorflow with MNIST

single-image-super-resolution

A collection of high-impact and state-of-the-art SR methods

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

statespace-intro-talk

Introduction to State Space methods

sublime-settings

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-mnist-mlp-batch_normalization-weight_initializers

MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

tensorflow-tutorial

Tensorflow tutorial from basic to hard

tensorflow-vdsr

A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'

tensorflow-windows-build-tutorial

Tutorial how to build and install TensorFlow GPU/CPU for Windows from source code using bazel

tensorgraph

The tensorgraph is a example show how to generate, load graph from tensorflow

tensorrt

TensorFlow/TensorRT integration

tf_unet

Generic U-Net Tensorflow implementation for image segmentation

unet

unet for image segmentation

vba

videosuperresolution

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.