thomascong121 Goto Github PK

aduni

Source code of "Adaptive Unified Contrastive Learning for Imbalanced Classification" presented in International Workshop on Machine Learning in Medical Imaging, 2022

awesome-long-tail-learning

bigdata

cagan_stain_norm

Source code of the paper "Colour adaptive generative networks for stain normalisation of histopathology images" presented in Medical Image Analysis, 2022

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

codewithmosh

comp9318_hmm

comp9321-data-services

computer_vision

decisiontree_python

deep-residual-unet

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

deepgat

dro-lt

Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"

imageprocessslider

ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

machine_learning

UNSW COMP9417 19T2

mislas

Improving Calibration for Long-Tailed Recognition (CVPR2021)

ml_segmentation

Machine learning semantic segmentation - Random Forest, SVM, GBC

ncrf

Cancer metastasis detection with neural conditional random field (NCRF)

ride-longtailrecognition

[ICLR 2021 Spotlight] Pytorch implementation for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."

siim-acr-pneumothorax-segmentation

socialdistance

Source code of "Towards Enforcing Social Distancing Regulations with Occlusion-Aware Crowd Detection" presented in International Conference on Control, Automation, Robotics and Vision, 2020

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

targeted-supcon

transformation-cr

Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation

unsw_cs

web_checker

Use webbot package for a simple version of checking if a particular course has any empty space.