Pinned Repositories
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
autodial
AutoDIAL Caffe Implementation
autokeras
Accessible AutoML for deep learning.
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
book_code_Pycharm
个人维护的《Python大战机器学习:数据科学家的一个小目标》对应的源码;IDE:PyCharm
braindecode
A deep learning toolbox to decode raw time-domain EEG.
CapsNet-Keras
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
CORAL
Correlation Alignment for Domain Adaptation
d2l-pytorch-colab
Automatically Generated Notebooks for Colab
d2l-tensorflow-sagemaker
zhangys2019's Repositories
zhangys2019/autodial
AutoDIAL Caffe Implementation
zhangys2019/book_code_Pycharm
个人维护的《Python大战机器学习:数据科学家的一个小目标》对应的源码;IDE:PyCharm
zhangys2019/CapsNet-Keras
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
zhangys2019/CORAL
Correlation Alignment for Domain Adaptation
zhangys2019/Deep-Coral-Tf
A Tensorflow implementation of paper, Deep CORAL: Correlation Alignment for Deep Domain Adaptation
zhangys2019/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
zhangys2019/Deep-Learning-with-Keras
Code repository for Deep Learning with Keras published by Packt
zhangys2019/DeepCORAL
A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016
zhangys2019/DeepLearningImplementations
Implementation of recent Deep Learning papers
zhangys2019/fbcsp
zhangys2019/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
zhangys2019/gumpy-deeplearning
Deep Learning Models for Brain Computer Interfaces
zhangys2019/improved-gan
Code for the paper "Improved Techniques for Training GANs"
zhangys2019/keras-dcgan
Keras implementation of Deep Convolutional Generative Adversarial Networks
zhangys2019/matlab_SPoC
Matlab code for SSD, SPoC, mSPoC, and cSPoC
zhangys2019/multi-speaker-tacotron-tensorflow
Multi-speaker Tacotron in TensorFlow.
zhangys2019/NonlinearComponentAnalysis
Application of principal component analysis capturing non-linearity in the data using kernel approach
zhangys2019/regularized_SPoC
Matlab implementation of regularization techniques for the SPoC algorithm
zhangys2019/semi-supervised-GAN
There is the semi-supervised implement of 'Improved Techniques for Training GANs '
zhangys2019/TrustScore
To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).