aminehb's Stars
microsoft/RespireNet
This is the official implementation of the work RespireNet.
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
yangkky/Machine-learning-for-proteins
Listing of papers about machine learning for proteins.
nanxstats/protr
🧬 Toolkit for generating various numerical features of protein sequences
arundo/tsaug
A Python package for time series augmentation
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
meagmohit/EEG-Datasets
A list of all public EEG-datasets
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
gaochen315/panoramicRPCA
Panoramic robust PCA for foreground-background separation on noisy, free-motion camera video
3778/Ward2ICU
Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
hkaggarwal/modl
MoDL: Model-Based Deep Learning Architecture for Inverse Problems
Bsingstad/PhysioNet-CinC-Challenge2020-TeamUIO
Public repository associated with: Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs
JulesBelveze/eeg-classifier
🧠Quality assessor for EEG recordings 🧠
VSainteuf/lightweight-temporal-attention-pytorch
A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification
VSainteuf/pytorch-psetae
PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
ML4ITS/tdt99-2020
Repository for the theory module TDT99
JulesBelveze/time-series-autoencoder
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
bitnom/Timeseries-Prediction-Models
Gathers & improves machine learning and deep learning models for Stock & Crypto forecasting, included trading bots and simulations.
bentrevett/pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
sktime/sktime
A unified framework for machine learning with time series
sktime/sktime-dl
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
TimeSynth/TimeSynth
A Multipurpose Library for Synthetic Time Series Generation in Python
rapidsai/cuml
cuML - RAPIDS Machine Learning Library
alkaline-ml/pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
LeeJunHyun/Image_Segmentation
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
JunMa11/SegLossOdyssey
A collection of loss functions for medical image segmentation
robinvvinod/unet
Keras implementation of a 2D/3D U-Net with Additive Attention, Inception, and Recurrence functions provided
WittmannF/LRFinder
Learning Rate Finder (or LRFinder) Callback for Keras. Implementation as close as possible of FastAI.
GuanLab/DeepSleep
perslev/U-Time
U-Time: A Fully Convolutional Network for Time Series Segmentation