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compute-features

Computes features for images using various pretrained Tensorflow models

conditional_vae

conditional variational autoencoder written in Keras

convolutionalautoencoder

Quick and dirty example of the application of convolutional autoencoders in Keras/Tensorflow

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-image-prior

Image restoration with neural networks but without learning.

feature-engineering-for-ml-zh

:book: [译] 面向机器学习的特征工程

hatn

Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)

image_features_for_adclicking

This module is used to extract image features that can be later used for ad clicking prediction as in https://maths-people.anu.edu.au/~johnm/courses/mathdm/talks/dimitri-clickadvert.pdf .

machine-learning

从零基础开始机器学习之旅

memnet

Code for our ICCV'17 paper "MemNet: A Persistent Memory Network for Image Restoration" (SPOTLIGHT Presentation)

mgan

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)

my-tensorflow-tutorials

This repo contains all of my TensorFlow tutorials

test

zhajuan.github.io