A curated list of awesome deep vision web demo

Please feel free to pull requests to add papers.

• https://tensorflow-mnist.herokuapp.com/
• https://erkaman.github.io/regl-cnn/src/demo.html
• https://transcranial.github.io/keras-js/#/mnist-cnn

• CRF+RNN (ICCV 2015) http://www.robots.ox.ac.uk/~szheng/crfasrnndemo

• VGG-16 https://deeplearning4j.org/demo-classifier-vgg16
• Illustration2vec http://demo.illustration2vec.net/
• Leiden Univ. http://goliath.liacs.nl/
• Clarifai https://www.clarifai.com/demo
• Google Colud Vision API http://vision-explorer.reactive.ai/#/?_k=aodf68
• IBMWatson Vision API https://visual-recognition-demo.mybluemix.net/
• Karpathy: MNIST ConvNet http://cs.stanford.edu/people/karpathy/convnetjs/demo/mnist.html
• Karpathy: CIFAR10 ConvNet http://cs.stanford.edu/people/karpathy/convnetjs/demo/cifar10.html
• keras-js: IMAGENET 50-layer Residual Network https://transcranial.github.io/keras-js/#/resnet50
• keras-js: IMAGENET Inception-v3 https://transcranial.github.io/keras-js/#/inception-v3
• keras-js: IMAGENET SqueezeNet v1.1 https://transcranial.github.io/keras-js/#/squeezenet-v1.1
• Teachable Machine: 3 Classes with online video https://teachablemachine.withgoogle.com/

• http://silverpond.com.au/object-detector

• Single Shot Text Detector with Regional Attention (ICCV 2017) http://128.227.246.42:5555/

• https://how-old.net/

• VAE : MNIST Geneartation http://www.dpkingma.com/sgvb_mnist_demo/demo.html
• VAE : keras-js MNIST https://transcranial.github.io/keras-js/#/mnist-vae
• VAE : Gray Face Generation http://vdumoulin.github.io/morphing_faces/online_demo.html
• Karpathy: Denoising AutoEncoder http://cs.stanford.edu/people/karpathy/convnetjs/demo/autoencoder.html

• GAN : 1D Gaussian Distribution Fitting http://cs.stanford.edu/people/karpathy/gan/
• DCGAN : Asian Color Face Generation http://carpedm20.github.io/faces/
• DCGAN : Character Generation http://mattya.github.io/chainer-DCGAN/
• ACGAN : keras-js MNIST https://transcranial.github.io/keras-js/#/mnist-acgan
• Girls Chacacter Generation : http://make.girls.moe/#/
• GAN-playground : https://reiinakano.github.io/gan-playground/
• GA Lab : https://poloclub.github.io/ganlab/
• Style GAN : https://thispersondoesnotexist.com/
• GauGAN : http://52.12.58.174/

• On/Off-line Style Transfer, Deep Dream https://deepdreamgenerator.com/gallery
• Offline Style Transfer, http://demos.algorithmia.com/deep-style/

• pix2pix https://affinelayer.com/pixsrv/index.html
• pix2pix (human face) http://fotogenerator.npocloud.nl/

• sketch to color image https://paintschainer.preferred.tech/
• draw sketch and colorize it https://sketch.pixiv.net/draw
• deepcolor http://color.kvfrans.com/
• gray photo to color photo http://demos.algorithmia.com/colorize-photos/

• MS https://www.captionbot.ai/

• http://vqa.daylen.com/
• https://cloudcv.org/vqa/

• Quick Draw https://quickdraw.withgoogle.com/#
• Auto Draw http://www.autodraw.com/
• Sketch RNN (Draw together with a neural network) https://aiexperiments.withgoogle.com/sketch-rnn-demo

• http://163.172.78.19/

• http://waifu2x.udp.jp/

• SALICON (ICCV 2015) http://salicon.net/demo/#

• http://fontjoy.com/

• https://art.pixlab.io/

• NVIDIA : https://www.nvidia.com/research/inpainting/
• http://jhyu.me/posts/2018/01/20/generative-inpainting.html

• http://tesseract.projectnaptha.com/

• https://control.kylemcdonald.net/posenet/

• tensorflow play ground http://playground.tensorflow.org/
• karpathy: toy 2d classification http://cs.stanford.edu/people/karpathy/convnetjs/demo/classify2d.html

• Wavenet https://deepmind.com/blog/wavenet-generative-model-raw-audio/

• SEGAN ('17.03) http://veu.talp.cat/segan/

• Neural Singing ('17.04) http://www.dtic.upf.edu/~mblaauw/IS2017_NPSS/

• Neural Synthesizer https://aiexperiments.withgoogle.com/sound-maker/view/