zhouqingping Goto Github PK

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zhouqingping's Projects

deep_generative_models_alzheimer

Python + Tensorflow code for the Master's thesis: Deep Generative Models for Predicting Alzheimer's Disease Progression from MR Data

deeplearningtutorial

Deep learning tutorial in Chinese/深度学习教程中文版

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deeppy

Deep learning in Python

document-style-guide

中文技术文档的写作规范

easytrader

提供券商华泰/佣金宝/银河/广发/雪球的基金、股票自动程序化交易，量化交易组件

echarts

A powerful charting and visualization library for browser

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

effectivescala

Twitter's Effective Scala Guide

effectivetensorflow

TensorFlow tutorials and best practices.

export_fig

A MATLAB toolbox for exporting publication quality figures

fast-style-transfer

Fast Style Transfer in TensorFlow ⚡🖥🎨🖼

fastpredictiveimageregistration

Source code for X. Yang et al., "Fast Predictive Image Registration"

fgp

Code for the paper 'Fast Allocation of Gaussian Process Experts'

fisa-vim-config

my vim configuration (lot of python, autocompletition, fuzzy finder, debugger, ...)

foundations_for_deep_learning

Building a scalable foundation for deep learning

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

ggplot2

An implementation of the Grammar of Graphics in R

grad-cam

[ICCV 2017] Torch code for Grad-CAM

grad-cam-tensorflow

tensorflow implementation of Grad-CAM (CNN visualization)

gramm

ggplot for Matlab! Quickly create publication-quality plots in Matlab: automatic colors & subplots, statistics…

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.