Chen (Cherise) Chen (cherise215)

cherise215

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Company:University of Sheffield

Location:Sheffield

Home Page:cherise215.github.io

Twitter:@cherise_go

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Chen (Cherise) Chen's starred repositories

Torchelie

Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.

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PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

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easyreg

an image registration/augmentation/segmentation package

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mermaid

Image registration using pytorch

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deep_Mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

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DeepReg

Medical image registration using deep learning

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Biomechanics-informed-motion-tracking

[MICCAI'20] Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI

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AI-research-tools

:hammer:AI 方向好用的科研工具

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RMI

This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.

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torchio

Medical imaging toolkit for deep learning

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augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

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Multi-views-fusion

LV Volumes Prediction based on Multi-views Fusion CNN

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PRML

PRML algorithms implemented in Python

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dlbook_notation

LaTeX files for the Deep Learning book notation

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awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

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salad

A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

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Morpho-MNIST

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)

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SOTA-MedSeg

SOTA medical image segmentation methods based on various challenges

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HeartSeg

code of DenseVoxNet and 3D-DSN

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poster-templates

BioMedIA's poster templates used for conferences

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network-slimming

Network Slimming (Pytorch) (ICCV 2017)

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slimming

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

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DALI

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

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awesome-computer-vision

A curated list of awesome computer vision resources

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menpo3d

Tools for manipulating 3D meshes within the Menpo project.

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pca-autoencoder-relationship

Understand the relationship between PCA and autoencoder

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SimpleElastix

Multi-lingual medical image registration library

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SPADE

Semantic Image Synthesis with SPADE

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texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

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