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

Last update: Jun 22, 2022

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Deep Learning 110-1-NTU-DBME5028

Overview

110-1-NTU-DBME5028

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

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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.
- NTU CSIE Data structure (DSA) (Prof. Hsuan-Tien Lin)
- NTU CSIE Algorithm (ADA) (Prof. Yun-Nung Chen)
- NTU CSIE Machine Learning (Prof. Hsuan-Tien Lin)
- NTU EE Machine Learning (~DL) (Prof. Hung-Yi Lee)
Basic PyTorch tutorial link.

Material for this class

20211006 Pre-test explanation

Please refer to the link.

Owner

GitHub Repository

Official repository for "Exploiting Session Information in BERT-based Session-aware Sequential Recommendation", SIGIR 2022 short.

Session-aware BERT4Rec Official repository for "Exploiting Session Information in BERT-based Session-aware Sequential Recommendation", SIGIR 2022 shor

22 Dec 13, 2022

Scripts of Machine Learning Algorithms from Scratch. Implementations of machine learning models and algorithms using nothing but NumPy with a focus on accessibility. Aims to cover everything from basic to advance.

Algo-ScriptML Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The goal of this project is not t

81 Nov 26, 2022

Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity

[ICLR 2022] Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity by Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elen

18 Dec 31, 2022

Code for the paper SphereRPN: Learning Spheres for High-Quality Region Proposals on 3D Point Clouds Object Detection, ICIP 2021.

SphereRPN Code for the paper SphereRPN: Learning Spheres for High-Quality Region Proposals on 3D Point Clouds Object Detection, ICIP 2021. Authors: Th

15 Dec 02, 2022

The ARCA23K baseline system

ARCA23K Baseline System This is the source code for the baseline system associated with the ARCA23K dataset. Details about ARCA23K and the baseline sy

4 Jul 02, 2022

The Python code for the paper A Hybrid Quantum-Classical Algorithm for Robust Fitting

About The Python code for the paper A Hybrid Quantum-Classical Algorithm for Robust Fitting The demo program was only tested under Conda in a standard

5 Nov 28, 2022

The code for "Deep Level Set for Box-supervised Instance Segmentation in Aerial Images".

Deep Levelset for Box-supervised Instance Segmentation in Aerial Images Wentong Li, Yijie Chen, Wenyu Liu, Jianke Zhu* Any questions or discussions ar

112 Jan 05, 2023

Implementing a simplified copy of Shazam application from scratch using MinHashing and LSH.

Building Shazam from scratch In this repository we tried to implement a simplified copy of the Shazam application able to tell you the name of a song

0 Nov 17, 2022

DRIFT is a tool for Diachronic Analysis of Scientific Literature.

About DRIFT is a tool for Diachronic Analysis of Scientific Literature. The application offers user-friendly and customizable utilities for two modes:

108 Dec 12, 2022

CVPR2022 paper "Dense Learning based Semi-Supervised Object Detection"

[CVPR2022] DSL: Dense Learning based Semi-Supervised Object Detection DSL is the first work on Anchor-Free detector for Semi-Supervised Object Detecti

69 Dec 08, 2022

paper: Hyperspectral Remote Sensing Image Classification Using Deep Convolutional Capsule Network

DC-CapsNet This is a tensorflow and keras based implementation of DC-CapsNet for HSI in the Remote Sensing Letters R. Lei et al., "Hyperspectral Remot

7 Nov 29, 2022

[BMVC'21] Official PyTorch Implementation of Grounded Situation Recognition with Transformers

Grounded Situation Recognition with Transformers Paper | Model Checkpoint This is the official PyTorch implementation of Grounded Situation Recognitio

18 Jul 19, 2022

Convolutional neural network web app trained to track our infant’s sleep schedule using our Google Nest camera.

Machine Learning Sleep Schedule Tracker What is it? Convolutional neural network web app trained to track our infant’s sleep schedule using our Google

7 Jul 15, 2022

LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection

LiDAR Distillation Paper | Model LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection Yi Wei, Zibu Wei, Yongming Rao, Jiax

75 Dec 22, 2022

Split your patch similarly to `git add -p` but supporting multiple buckets

split-patch.py This is git add -p on steroids for patches. Given a my.patch you can run ./split-patch.py my.patch You can choose in which bucket to p

102 Oct 06, 2022

NFT-Price-Prediction-CNN - Using visual feature extraction, prices of NFTs are predicted via CNN (Alexnet and Resnet) architectures.

5 Nov 03, 2022

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

Related tags

Overview

110-1-NTU-DBME5028

Related Material

Material for this class

20211006 Pre-test explanation

Owner

Official repository for "Exploiting Session Information in BERT-based Session-aware Sequential Recommendation", SIGIR 2022 short.

Scripts of Machine Learning Algorithms from Scratch. Implementations of machine learning models and algorithms using nothing but NumPy with a focus on accessibility. Aims to cover everything from basic to advance.

Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity

Code for the paper SphereRPN: Learning Spheres for High-Quality Region Proposals on 3D Point Clouds Object Detection, ICIP 2021.

The ARCA23K baseline system

The Python code for the paper A Hybrid Quantum-Classical Algorithm for Robust Fitting

The code for "Deep Level Set for Box-supervised Instance Segmentation in Aerial Images".

Implementing a simplified copy of Shazam application from scratch using MinHashing and LSH.

DRIFT is a tool for Diachronic Analysis of Scientific Literature.

CVPR2022 paper "Dense Learning based Semi-Supervised Object Detection"

paper: Hyperspectral Remote Sensing Image Classification Using Deep Convolutional Capsule Network

[BMVC'21] Official PyTorch Implementation of Grounded Situation Recognition with Transformers

Convolutional neural network web app trained to track our infant’s sleep schedule using our Google Nest camera.

LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection

Split your patch similarly to `git add -p` but supporting multiple buckets

NFT-Price-Prediction-CNN - Using visual feature extraction, prices of NFTs are predicted via CNN (Alexnet and Resnet) architectures.

Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]

PyTorch code for ICPR 2020 paper Future Urban Scene Generation Through Vehicle Synthesis

Deep Residual Networks with 1K Layers

Using this you can control your PC/Laptop volume by Hand Gestures (pinch-in, pinch-out) created with Python.