jinbochen0823's Stars
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
Johnserf-Seed/TikTokDownload
抖音去水印批量下载用户主页作品、喜欢、收藏、图文、音频
facontidavide/PlotJuggler
The Time Series Visualization Tool that you deserve.
locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
state-spaces/s4
Structured state space sequence models
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
ddz16/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
ustctug/ustcthesis
LaTeX template for USTC thesis
yuqinie98/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
modelscope/3D-Speaker
A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization
vincentherrmann/pytorch-wavenet
An implementation of WaveNet with fast generation
nnzhan/Graph-WaveNet
graph wavenet
hsd1503/resnet1d
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
edgarschnfld/CADA-VAE-PyTorch
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
marianux/ecg-kit
A Matlab toolbox for cardiovascular signal processing
IBM/action-recognition-pytorch
This is the pytorch implementation of some representative action recognition approaches including I3D, S3D, TSN and TAM.
serend1p1ty/core-pytorch-utils
Yet another PyTorch Trainer and some core components for deep learning.
thuml/Koopa
Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803
thuml/Corrformer
About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, 2023. https://www.nature.com/articles/s42256-023-00667-9
amoudgl/mosse-tracker
Implementation of MOSSE tracker in MATLAB: Visual Object Tracking using Adaptive Correlation Filters (CVPR 2010)
nzl5116190/Basisformer
This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis]
UMCUtrecht-ECGxAI/ecgxai
Neatly packaged AI methods for explainable ECG analysis
KIT-IBT/ECGdeli
This is ECGdeli - A selection of delicious algorithms for ECG delineation
yanfang-research/ECG-AI
Code, Dataset, Tools Review
zheng120/ECGDenoisingTool
VlaKuz/ecg_cycle_VAE
Tereshchenkolab/Origin
Heart Vector Origin Point
jaideepmurkute/Multi-purpose-Disentangling-Variational-Autoencoders-for-ECG-data
sourav-roni/BCR-DE
Code for "Controlled Differential Equations on Long Sequences via Non-standard Wavelets" paper. ICML23
ViktorvdValk/Task-Specific-VAE