王猛's Projects
Fully Convolutional Refined Auto Encoding Generative Adversarial Networks for 3D Multi Object Scenes
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Image augmentation library in Python for machine learning.
百度图片爬虫,基于python3
Python nD laplacian-of-gaussian blob detection
"我的阅历"
:books: Books worth reading
《深度学习:一起玩转TensorLayer》
Creat your own dataset with the similar format with CIFAR10 in python version.
Fine-tune CNN in Keras
Component-graph based image processing
A technical report on convolution arithmetic in the context of deep learning
Conversions and cite key generation for BibTeX files
:computer: CS446: Machine Learning in 2018 Spring, UIUC
A Python-embedded modeling language for convex optimization problems.
MeVisLab Macro Module for Preperation of Training Data for Urinary Bladder Segmentation
Keras code and weights files for popular deep learning models.
深度学习论文翻译,包括分类论文,检测论文等
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
《深度学习与计算机视觉》配套代码
Jason Brownlee의 Deep Learning with Python에 소개된 내용을 .ipynb로 옮겨서 따라하기 쉽게 만드는 작업
An end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017
3d convnet for the classification of nodules/tumor in lung CT scans. Trained on Luna16 for Kaggle's 2017 data science bowl competition (result in top 3%)
A deep learning framework for lung cancer prediction built with Lasagne/Theano
implemement of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL_CVPR2016
我的大数据学习书单
Euclid object labeller for object detection training purposes in Machine learning frameworks (KITTI, YOLO)
Hessian、 eig2image and Frangi