hw-liang Goto Github PK

abnormal-behavior-detection-based-on-optical-flow-features

CSC2515-University of Toronto. This project applied computer vision and mechine learning methods aimed to detect abnormal behaved object in crowd, by Hanwen Liang and Haohan Li.

cyclegan_makeupremoval

CSC2516-University of Toronto. Course Project.

dscsi-gan

Implementation of Paper 'Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning on histopathology images'. And this repo also contains the reimplementation of paper 'Neural Stain-Style Transfer Learning using GAN for Histopathological Images'.

emoji-translation-with-cyclegan

Translation between Apple and Windows emojis Using CycleGAN

gan-pix2pix-keras

This is a simple Keras implementations of GAN model-pix2pix. I implemented this model for color normalization on histopathoplogical image.

image-colorization-super_resolution-with-unet

imagematting-introduction_to_visual_computing

Solve image mapping problem with triangulation equation using python/numpy /opencv, by Hanwen Liang.

machine-learning-and-data-mining

CSC2515 - University of Toronto serves as a broad introduction to Machine Learning. It covers a range of supervised and unsupervised learning algorithms, etc. This repository contains all the lecture slides of this course as well as official answer to all assignments.

multilevel-object-closure-detection-by-superpixels

CSC2523-University of Toronto. This project applied computer vision algorithms and designed a recursive algorithm to detect all possible objects and their closures in an image. It could generate tree structure which shows the inclusion relation between objects in the image.

neural-networks-and-deep-learning

CSC421/CSC2516

software-tools-and-systems-programming

CSC209-University of Toronto Software techniques in a Unix-style environment, using scripting languages and a machine-oriented programming language (typically C). What goes on in the operating system when programs are executed. Core topics: creating and using software tools, pipes and filters, file processing, shell programming, processes, system calls, signals, basic network programming.

stanosa

[Paper Implementation]Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.

text-mining-with-rnn

This directory is about using RNNs to train classifiers for text data classification. (Keras)