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3dunet-pytorch

3DUNet implemented with pytorch

awesome-incremental-learning

Awesome Incremental Learning

broad-learning-neural-networks

Broad Learning System

broad-learning-system

Broad Learning Neural Networks

broadlearningsystem_py

BLS Code

chexpert

dataset

医学影像数据集列表

deep_learning_examples

Examples of using deep learning in Bioinformatics

deeplearning_lhy21_notes

深度学习 李宏毅 2021 学习笔记

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

face-mask-detection

Detecting face masks using Python, Keras, OpenCV on real video streams

feature-extraction

Computer vision feature extraction toolbox for image classification

handong1587.github.io

hybridmodel-covid-19-prediction

To accurately predict the regional spread of COVID-19 infection, this study proposes a novel hybrid model which combines a Long short-term memory (LSTM) artificial recurrent neural network with dynamic behavioral models. Several factors and control strategies affect the virus spread, and the uncertainty arisen from confounding variables underlying the spread of the COVID-19 infection is substantial. The proposed model considers the effect of multiple factors to enhance the accuracy in predicting the number of cases and deaths across the top ten most-affected countries and Australia. The results show that the proposed model closely replicates test data. It not only provides accurate predictions but also estimates the daily behavior of the system under uncertainty. The hybrid model outperforms the LSTM model accounting for data limitation. The parameters of the hybrid models were optimized using a genetic algorithm for each country to improve the prediction power while considering regional properties. Since the proposed model can accurately predict COVID-19 spread under consideration of containment policies, is capable of being used for policy assessment, planning and decision-making.

knowledge-distillation-keras

A machine learning experiment

medmnist

MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

owr

Code and data for Paper - Towards Open World Recognition - CVPR 2015

petdementiapub

Source code to accompany "A Deep Learning Model to Predict a Diagnosis of Alzheimer’s Disease Using 18F-FDG PET of the Brain"

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

python-100-days

Python - 100天从新手到大师

python_tutorial

python tutorial

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-beginner

pytorch tutorial for beginners

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

salvatore-200longitudinal

Public longitudinal dataset to be used as benchmark for AD classification (ADNI)

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

tale

Transformer-based protein function Annotation with joint feature-Label Embedding