scfang6
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deep learning for image processing including classification and object-detection etc.
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Evolutionary algorithm toolbox and framework with high performance for Python
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
MIT-BIH data preprocessing and a sample deep model
Deep Learning on ECG, the First place in the PhysioNet/CinC Challenge 2017 (F1=0.83)
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals, IJCAI 2019
Estimating Critical Value from Electrocardiogram using a Deep Ordinal Convolutional Neural Network
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
Public repository associated with "Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL"
Event2vec: Learning Representations of Events on Temporal Sequences. APWeb-WAIM 2017
Python example classifier for the PhysioNet/Computing in Cardiology Challenge 2020
scfang6 / geatpy
Forked from geatpy-dev/geatpyEvolutionary algorithm toolbox and framework with high performance for Python
hsd1503 / Paper-Implementation-DSTP-RNN-For-Stock-Prediction-Based-On-DA-RNN
Forked from arleigh418/Paper-Implementation-DSTP-RNN-For-Stock-Prediction-Based-On-DA-RNN基於DA-RNN之DSTP-RNN論文試做(Ver1.0)