• Stars
    star
    341
  • Rank 123,998 (Top 3 %)
  • Language
  • Created over 7 years ago
  • Updated over 5 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

A curated list of awesome deep vision web demo

awesome-deep-vision-web-demo

A curated list of awesome deep vision web demo

Contributing

Please feel free to pull requests to add papers.

Vision Demo List

Hand-written Digit Recognition

Image Segmentation

Image Classification

Object Detection

Text Detection

Age Estimation

AutoEncoder

GAN

Style Transfer

Image Translation

Colorization

Image Captioning

Visual Q&A

Google's AI Experiment

Gaze Manipulation

Super-Resolution

Saliency Map

Font Generation

Image to ASCII Code

Image Completion

OCR (Optical Character Recognition)

Human Pose Estimation

Others

Neural-Net Demo

Text To Speech

Speech Noise Reduction

Singing Generation

Sound Synthesizer

More Repositories

1

tensorflow-generative-model-collections

Collection of generative models in Tensorflow
Python
3,910
star
2

awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
2,505
star
3

tensorflow-mnist-VAE

Tensorflow implementation of variational auto-encoder for MNIST
Python
490
star
4

tensorflow-style-transfer

A simple, concise tensorflow implementation of style transfer (neural style)
Python
296
star
5

tensorflow-fast-style-transfer

A simple, concise tensorflow implementation of fast style transfer
Python
245
star
6

tensorflow-mnist-cnn

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
Python
196
star
7

tensorflow-mnist-CVAE

Tensorflow implementation of conditional variational auto-encoder for MNIST
Python
150
star
8

tensorflow-mnist-AAE

Tensorflow implementation of adversarial auto-encoder for MNIST
Python
86
star
9

how-far-can-we-go-with-MNIST

A collection of codes for 'how far can we go with MNIST' challenge
61
star
10

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.
Python
54
star
11

numpy-neuralnet-exercise

Implementation of key concepts of neuralnetwork via numpy
Python
48
star
12

tensorflow-GAN-1d-gaussian-ex

Tensorflow implementation of Generative Adversarial Network for approximating a 1D Gaussian distribution
Python
25
star