Alternatives and similar repositories for TripletAttention:

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

• divamgupta / deep-clustering-kingdra
  Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning
  ☆47Updated 4 years ago
• Spijkervet / contrastive-predictive-coding
  PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)
  ☆84Updated 3 years ago
• jaketae / realformer
  PyTorch implementation of RealFormer: Transformer Likes Residual Attention
  ☆11Updated 3 years ago
• ttchengab / mixup
  ☆19Updated 3 years ago
• congxin95 / DaFeC
  The code of "Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering", ECML-PKDD 2020.
  ☆21Updated 2 years ago
• anirudhshenoy / pseudo_labeling_small_datasets
  Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…
  ☆73Updated 5 years ago
• takeshi-teshima / few-shot-domain-adaptation-by-causal-mechanism-transfer
  Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
  ☆42Updated 2 years ago
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 3 years ago
• jc043 / CPL
  ☆12Updated last year
• boschresearch / expclr
  Official PyTorch implementation of the paper "Utilizing Expert Features for Contrastive Learning of Time-Series Representations"
  ☆14Updated 2 years ago
• Wickstrom / MixupContrastiveLearning
  Code for mixup contrastive learning
  ☆22Updated 4 years ago
• huckiyang / Voice2Series-Reprogramming
  ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification
  ☆72Updated 10 months ago
• skrish13 / CrossTransformers-PyTorch
  PyTorch code for the paper "CrossTransformers: spatially-aware few-shot transfer"
  ☆24Updated 4 years ago
• zdy93 / FTL-Trans
  Time-Aware Transformer-based Network for Clinical Notes Series Prediction
  ☆23Updated last year
• BriansIDP / RTLM
  ☆12Updated 4 years ago
• Flawless1202 / Non-AR-Spatial-Temporal-Transformer
  Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.
  ☆76Updated 4 years ago
• kuixu / Linear-Multihead-Attention
  Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
  ☆76Updated 4 years ago
• antonyvigouret / Pay-Attention-to-MLPs
  My implementation of the gMLP model from the paper "Pay Attention to MLPs".
  ☆25Updated 3 years ago
• sungyubkim / DVIB
  A pytorch implementation of DVIB(Deep Variational Information Bottleneck)
  ☆9Updated 6 years ago
• divelab / sopool
  Second-Order Pooling for Graph Neural Networks
  ☆16Updated 4 years ago
• uvavision / Curriculum-Labeling
  [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
  ☆139Updated 4 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 4 years ago
• GuillaumeErhard / Supervised_contrastive_loss_pytorch
  Independent implementation of Supervised Contrastive Loss. Straight to the point and beyond
  ☆80Updated 4 years ago
• EPFLiGHT / MultiModN
  MultiModN – Multimodal, Multi-Task, Interpretable Modular Networks (NeurIPS 2023)
  ☆33Updated last year
• kekmodel / UDA-pytorch
  An unofficial PyTorch implementation of Unsupervised Data Augmentation
  ☆15Updated 3 years ago
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• AhmedFrikha / Few-Shot-One-Class-Classification-via-Meta-Learning
  A Meta-Learning Approach for Few-Shot Anomaly Detection and One-Class Classification
  ☆35Updated 3 years ago
• hoyeoplee / pytorch-maml
  ☆17Updated 2 years ago
• mabirck / Maml_Reptile_PyTorch
  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks" in PyTorch
  ☆9Updated 6 years ago
• xjtushujun / Meta-SPL
  Pytorch implementation for Meta-SPL (self-paced learning).
  ☆17Updated 4 years ago