王猛's repositories
zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
blob
Python nD laplacian-of-gaussian blob detection
component-graph
Component-graph based image processing
cs446
:computer: CS446: Machine Learning in 2018 Spring, UIUC
cvxpy
A Python-embedded modeling language for convex optimization problems.
deep-learning-papers-translation
深度学习论文翻译,包括分类论文,检测论文等
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
dlcv_for_beginners
《深度学习与计算机视觉》配套代码
Frangi-filter-based-Hessian
Hessian、 eig2image and Frangi
image
store my img
itk-jupyter-widgets
Interactive Jupyter widgets to visualize images in 2D and 3D
Keras-GAN
Keras implementations of Generative Adversarial Networks.
keras-rcnn
Keras package for region-based convolutional neural networks (RCNNs)
keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
LightNet
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
pynrrd
Simple pure-python module for reading and writing nrrd files.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
squeeze_and_excitation
PyTorch Implementation of 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
tutorial
Algorithms Tutorial
unet-gan-matting
Background Removal based on U-Net