YaoPhoebeGuo's Stars
chomeyama/DualCycleGAN
Official implementation of DualCycleGAN for nonparallel audio super resolution
zkx06111/WSRGlow
The official implementation of the Interspeech 2021 paper WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution.
haoheliu/versatile_audio_super_resolution
Versatile audio super resolution (any -> 48kHz) with AudioSR.
kuleshov/audio-super-res
Audio super resolution using neural networks
slp-rl/aero
This repo contains the official PyTorch implementation of "Audio Super Resolution in the Spectral Domain" (ICASSP 2023)
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
NeuroTechX/moabb
Mother of All BCI Benchmarks
carrtesy/Graph-WaveNet-WaveBound
Exemplary Implementation of WaveBound (NeurIPS 2022) to Traffic domain, especially GWNet.
carrtesy/M2N2
Official repository for the paper "When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection", AAAI 2024.
tim-learn/awesome-test-time-adaptation
Collection of awesome test-time (domain/batch/instance) adaptation methods
state-spaces/mamba
Mamba SSM architecture
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
silvia1993/Self-Supervised_Learning_Across_Domains
xihao-1223/TrafficFlowPredictionResources
交通流量预测项目在研,以下是本人学习过程中积累整理的资源,会持续更新
OpsPAI/MTAD
MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection
raghavchalapathy/Deep-Learning-for-Anomaly-Detection-A-Survey
This paper is continuously updated with deep anomaly detection methods and their applications
LiDan456/MAD-GANs
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
hi-bingo/BeatGAN
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
neilzxu/robust_weighted_classification
Code for "Class-Weighted Classification: Trade-offs and Robust Approaches"
TheDatumOrg/UCRArchiveFixes
2018 UCR Time-Series Archive: Backward Compatibility, Missing Values, and Varying Lengths
OpenNMT/OpenNMT-py
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
finloop/usad-torchlightning
Implementation of USAD (UnSupervised Anomaly Detection on multivariate time series) in PyTorch Lightning
White-Link/UnsupervisedScalableRepresentationLearningTimeSeries
Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
braindecode/braindecode
Deep learning software to decode EEG, ECG or MEG signals
kashif/pytorch-transformer-ts
Repository of Transformer based PyTorch Time Series Models
garrettj403/SciencePlots
Matplotlib styles for scientific plotting
haoshileii/micos
ilkyyldz95/EEG_MVTS
EdisonLeeeee/MaskGAE
[KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
THUDM/GraphMAE
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22