jesi688

jesi688's Stars

• Yin-Hongwei/music-website

  🎧 Vue + SpringBoot + MyBatis 音乐网站

  Language:Vue5.3k1.4k

• emadeldeen24/TS-TCC

  [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

  Language:Python34799

• extremecoders-re/pyinstxtractor

  PyInstaller Extractor

  Language:Python2.8k602

• kweimann/ecg-transfer-learning

  Language:Python6914

• KKallidromitis/Contrastive-Neural-Processes

  Implementation of Contrastive Neural Processes in PyTorch

  Language:Python11

• Jwoo5/fairseq-signals

  A collection of deep learning models for ECG data processing based on fairseq framework

  Language:Python648

• zhihanyue/ts2vec

  A universal time series representation learning framework

  Language:Python585142

• zhalenl/ECG_SimCLR

  Language:Jupyter Notebook1

• AntSwordProject/AntSword-Loader

  AntSword 加载器

  2.4k540

• SCXsunchenxi/TEST

  Language:Python447

• mims-harvard/UniTS

  A unified multi-task time series model.

  Language:Python40252

• mims-harvard/TFC-pretraining

  Self-supervised contrastive learning for time series via time-frequency consistency

  Language:Python42078

• JerryKingQAQ/METS

  [MIDL 2023] This is an unofficial implementation of paper "Frozen Language Model Helps ECG Zero-Shot Learning"

  Language:Python221

• Augustgaoshaochen/AF_MUL

  Self-supervised Learning for Atrial Fibrillation Anomaly Detection using Multimodal ECG feature values

  Language:Python1

• Jielin-Qiu/ECG_image_encoding

  [PMLR ML4H 2023] Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report

  Language:Python81

• kingrc15/multimodal-clinical-pretraining

  This is the official code for "Multimodal Pretraining of Medical Time Series and Notes" at Machine Learning for Health 2023

  Language:Python91

• hijiangtao/resume

  个人中文简历 Latex 源码 https://hijiangtao.github.io/

  Language:TeX1.8k537

• Hxyou/MSCLIP

  Official Code of ECCV 2022 paper MS-CLIP

  Language:Python833

• tomoyoshki/focal

  Pytorch Implementation of FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space

  Language:Python172

• DurstewitzLab/mmPLRNN

  Language:Python45

• Aiwiscal/CDCL-ECG

  A Joint Cross-dimensional Contrastive Learning Framework for 12-lead ECGs

  Language:C62

• hsd1503/transformer1d

  pytorch implementation of transformer for 1D data

  Language:Python396

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3k525

• yonigottesman/ecg_vit

  1D vision transformer (vit) for ecg interpretable classification

  Language:Python322

• AndreyGuzhov/AudioCLIP

  Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)

  Language:Python74491

• hsd1503/resnet1d

  PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

  Language:Python40796

• moein-shariatnia/OpenAI-CLIP

  Simple implementation of OpenAI CLIP model in PyTorch.

  Language:Jupyter Notebook60891

• rom1504/img2dataset

  Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

  Language:Python3.6k332

• linzhiqiu/cross_modal_adaptation

  Cross-modal few-shot adaptation with CLIP

  Language:Python30434

• yuxiaochen1103/FDT

  Language:Python595