yangerkun's Projects
The implementation of AAAI-17 paper "Collective Deep Quantization of Efficient Cross-modal Retrieval"
阿布股票量化系统
Alzheimer's Disease Prediction by using ResNet, AlexNet
Little More Advanced TensorFlow Implementations
A curated (most recent) list of resources for Learning with Noisy Labels
Code and hyperparameters for the paper "Generative Adversarial Networks"
Code for Adversarial examples for hamming space search
The classical papers and codes about generative adversarial nets
The most cited deep learning papers
A curated list of awesome deep vision web demo
A curated list of resources for Learning with Noisy Labels
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.
Caffe models in TensorFlow
Circulant Binary Embedding
It's the script of Center loss on mnist dataset running on Caffe.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
TPAMI: Classification with noisy labels by importance reweighting.
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
The implementation of CVPR-17 paper "Deep Visual-Semantic Quantization of Efficient Image Retrieval"
Image Completion with Deep Learning in TensorFlow
A tensorflow implementation of Deep Convolutional Generative Adversarial Networks
DeconvNet : Learning Deconvolution Network for Semantic Segmentation
Deep Hashing Algorithm for Cross-modal Images and Text Retrieval
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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