kaihe-plus

kaihe-plus's Stars

• mli/paper-reading

  深度学习经典、新论文逐段精读

  26.5k72502.4k

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.8k1492643k

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python6.5k694811k

• 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

  Language:Jupyter Notebook5.1k61657641

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python4.9k79186536

• clementchadebec/benchmark_VAE

  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

  Language:Python1.8k1865162

• terryum/Data-Augmentation-For-Wearable-Sensor-Data

  A sample code of data augmentation methods for wearable sensor data (time-series data)

  Language:Jupyter Notebook39018278

• openlists/ElectrophysiologyData

  A list of openly available datasets in (mostly human) electrophysiology.

  36735964

• thuml/Large-Time-Series-Model

  Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)

  Language:Python25371319

• lucidrains/pixel-level-contrastive-learning

  Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch

  Language:Python252111729

• physhik/ecg-mit-bih

  ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at

  Language:Python1839760

• emadeldeen24/AttnSleep

  [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

  Language:Python18211962

• broadinstitute/ml4h

  Language:Jupyter Notebook1212312622

• emadeldeen24/CA-TCC

  [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

  Language:Python1201630

• iantangc/ContrastiveLearningHAR

  Contrastive Learning (SimCLR) for Human Activity Recognition

  Language:Jupyter Notebook694417

• ermshaua/time-series-segmentation-benchmark

  This repository contains the time series segmentation benchmark (TSSB).

  Language:Jupyter Notebook593315

• DL4mHealth/COMET

  [Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series

  Language:Jupyter Notebook57133

• Welltory/hrv-covid19

  COVID-19 and Wearables Open Data Research

  498023

• marrlab/DinoBloom

  Blood Cell Foundation Model based on DINOv2

  Language:Python25514

• klean2050/ecg-augmentations

  ECG time-series augmentations library

  Language:Python24222

• DL4mHealth/Contrastive-Learning-in-Medical-Time-Series-Survey

  A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Series

  Language:Jupyter Notebook23102

• bulatkh/csshar_tfa

  Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition

  Language:Python21205

• BASHLab/LLaSA

  Large Language and Sensor Assistant: Multimodal LLM for sensor and human activity interpretation

  Language:Jupyter Notebook1321

• StanfordBioinformatics/wearable-infection

  Real-time detection of infection diseases using wearables

  Language:Python13417

• broadinstitute/ml4ht_data_source

  Multimodal data loader compatible with pytorch and tensorflow

  Language:Python12851

• DWonGH/tueg-tools

  Tools for working with the Temple University Hospital EEG Corpus

  Language:Python12212

• peterhcharlton/bsp-book

  An introduction to processing wearable sensor data

  Language:Jupyter Notebook10202

• nesl/DeepSQA

  DeepSQA repo for the paper "DeepSQA: Understanding Sensor Data via Question Answering"

  Language:Jupyter Notebook4704

• farhanfuadabir/PCovNet

  Language:Jupyter Notebook3100

• getalp/Self-Supervised-Learning-HAR

  Language:Python2400