Alternatives and similar repositories for MixupContrastiveLearning:

Users that are interested in MixupContrastiveLearning are comparing it to the libraries listed below

• XAI-360 / TSCL
  Contrastive Learning for Time Series
  ☆38Updated last year
• mqwfrog / MHCCL
  MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)
  ☆38Updated 8 months ago
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 3 years ago
• daochenzha / SimTSC
  [SDM 2022] Towards Similarity-Aware Time-Series Classification
  ☆77Updated last year
• sanatonek / TNC_representation_learning
  ☆117Updated 2 years ago
• mims-harvard / Raincoat
  Domain Adaptation for Time Series Under Feature and Label Shifts
  ☆117Updated last year
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆76Updated 2 years ago
• Navidfoumani / Series2Vec
  DMKD- Series2Vec: Similarity-based Representation Learning for Time Series
  ☆31Updated 2 weeks ago
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 3 years ago
• cruiseresearchgroup / TSCP2
  Time Series Change Point Detection based on Contrastive Predictive Coding
  ☆79Updated 2 years ago
• qianlima-lab / DiffShape
  This is an official pytorch implementation for paper "Diffusion Language-Shapelets for Semi-supervised Time-Series Classification" (AAAI-…
  ☆33Updated 9 months ago
• cchallu / dghl
  ☆28Updated 3 years ago
• emadeldeen24 / CoTMix
  [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup
  ☆30Updated 11 months ago
• oezyurty / CLUDA
  Contrastive Learning for Domain Adaptation of Time Series
  ☆87Updated 11 months ago
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆74Updated 2 years ago
• ranakroychowdhury / TARNet
  Task-Aware Reconstruction for Time-Series Transformer
  ☆60Updated 2 years ago
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• frankl1 / ustc
  Uncertain Shapelet Transform Classification, a shapelet method for uncertain time series classification
  ☆21Updated 2 years ago
• fteufel / PyTorch-GRU-D
  PyTorch Implementation of GRU-D from "Recurrent Neural Networks for Multivariate Time Series with Missing Values" https://arxiv.org/abs/1…
  ☆24Updated 4 years ago
• floft / calda
  Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation
  ☆26Updated 3 years ago
• xingyu617 / SimTS_Representation_Learning
  ☆47Updated last year
• tuslkkk / tadpak
  Towards a Rigorous Evaluation of Time-series Anomaly Detection (AAAI'22)
  ☆30Updated 3 years ago
• sanatonek / time_series_explainability
  ☆59Updated 4 years ago
• kdd2019-tapnet / tapnet
  Multivariate Time Series Classification Model with Attentional Prototype Network
  ☆44Updated 6 years ago
• Mingyue-Cheng / TimeMAE
  ☆91Updated 4 months ago
• yfzhang114 / OneNet
  This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…
  ☆108Updated 3 months ago
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆45Updated last year
• huipingcao / nmsu_yhao_ijcai2020
  This is the GitHub repository for our publication "A new attention mechanism to classify multivariate time series", by Yifan Hao and Huip…
  ☆29Updated 3 years ago
• reml-lab / hetvae
  Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
  ☆32Updated 2 years ago
• Alrash / TimesURL
  The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"
  ☆75Updated 10 months ago