Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)

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Deep Learning110-1-NTU-DBME5028
Overview

110-1-NTU-DBME5028

Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)

Related Material

  • It is recommended to be familiar with Python programming, Data structure, Algorithm, and Basic machine learning/ deep learning concepts before you take this class.

  • You must be familiar with several common python libraries (Numpy, Pandas, PyTorch, Scikit-learn, Matplotlib...), which enables you to easily start a deep learning project.

  • Here are some online classes for you to learn those prerequisite skills.

  • Basic PyTorch tutorial link.

Material for this class

20211006 Pre-test explanation

Please refer to the link.

Owner
GitHub Repository
RCDNet: A Model-driven Deep Neural Network for Single Image Rain Removal (CVPR2020)

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Deep Learning for Computer Vision final project

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Official PyTorch Implementation of Learning Architectures for Binary Networks

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Library for time-series-forecasting-as-a-service.

TIMEX TIMEX (referred in code as timexseries) is a framework for time-series-forecasting-as-a-service. Its main goal is to provide a simple and generi

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The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

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On the model-based stochastic value gradient for continuous reinforcement learning

On the model-based stochastic value gradient for continuous reinforcement learning This repository is by Brandon Amos, Samuel Stanton, Denis Yarats, a

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Alternatives to Deep Neural Networks for Function Approximations in Finance Code companion repo Overview This is a repository of Python code to go wit

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Voice control for Garry's Mod

WIP: Talonvoice GMod integrations Very work in progress voice control demo for Garry's Mod. HOWTO Install https://talonvoice.com/ Press https://i.imgu

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A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

OpenCDA OpenCDA is a SIMULATION tool integrated with a prototype cooperative driving automation (CDA; see SAE J3216) pipeline as well as regular autom

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A general-purpose encoder-decoder framework for Tensorflow

READ THE DOCUMENTATION CONTRIBUTING A general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text Summariz

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Step by Step on how to create an vision recognition model using LOBE.ai, export the model and run the model in an Azure Function

Step by Step on how to create an vision recognition model using LOBE.ai, export the model and run the model in an Azure Function

El Bruno 3 Mar 30, 2022
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

Near-Duplicate Video Retrieval with Deep Metric Learning This repository contains the Tensorflow implementation of the paper Near-Duplicate Video Retr

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This repository contains the code used for the implementation of the paper "Probabilistic Regression with HuberDistributions"

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Language-Agnostic Website Embedding and Classification

Homepage2Vec Language-Agnostic Website Embedding and Classification based on Curlie labels https://arxiv.org/pdf/2201.03677.pdf Homepage2Vec is a pre-

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Code for the paper "Generative design of breakwaters usign deep convolutional neural network as a surrogate model"

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Companion code for the paper Theoretical characterization of uncertainty in high-dimensional linear classification

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Modified prey-predator system - Modified prey–predator model describes the rate of change for each species by adding coupling terms.

Modified prey-predator system We aim to study the behaviors of the modified prey–predator model and establish the effects of several parameters that p

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