HW_LIANG's repositories
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.
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'.
Neural-Networks-and-Deep-Learning
CSC421/CSC2516
GAN-pix2pix-Keras
This is a simple Keras implementations of GAN model-pix2pix. I implemented this model for color normalization on histopathoplogical image.
CycleGAN_MakeupRemoval
CSC2516-University of Toronto. Course Project.
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.
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.
Emoji-Translation-With-CycleGAN
Translation between Apple and Windows emojis Using CycleGAN
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.
Text-Mining-with-RNN
This directory is about using RNNs to train classifiers for text data classification. (Keras)