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Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
Simple, Pythonic remote execution and deployment.
elasticsearch-cn / elasticsearch-definitive-guide
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📝Awesome and classical image retrieval papers
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
Re-implementation of the m-RNN model using TensorFLow
Tutorials and implementations for "Self-normalizing networks"
A search web app built by Flask and Google CSE
A curated list of awesome deep vision web demo
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Simple web service providing a word embedding model
Text to image synthesis using thought vectors
Neural Attention Model for Abstractive Summarization
Introduction to Deep Neural Networks with Keras and Tensorflow
The most cited deep learning papers
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Example images for the various EXIF orientation flags, in both landscape and portrait orientation.
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
Code for the paper "Improved Techniques for Training GANs"
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).