Alternatives and similar repositories for trident

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

• alinlab / PsCo
  Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)
  ☆57Updated 11 months ago
• ArmanAfrasiyabi / SetFeat-fs
  Code for "Matching feature sets for few-shot image classification"-CVPR'2022.
  ☆38Updated 2 years ago
• bbbdylan / unisiam
  [ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner
  ☆37Updated 2 years ago
• plai-group / simple-cnaps
  Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…
  ☆58Updated 2 years ago
• mboudiaf / pytorch-meta-dataset
  A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification
  ☆59Updated 2 years ago
• yassouali / SCL
  Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).
  ☆47Updated 2 years ago
• VICO-UoE / URL
  Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…
  ☆135Updated last year
• mrkshllr / FewTURE
  Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]
  ☆62Updated 2 years ago
• facebookresearch / noisy_few_shot
  Few-shot learning with mislabeled support samples
  ☆41Updated 2 years ago
• DanielShalam / BPA
  ☆61Updated last month
• ebennequin / few-shot-open-set
  Implementation of Open-Set Likelihood Maximization for Few-Shot Learning
  ☆41Updated last year
• sungnyun / understanding-cdfsl
  (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
  ☆33Updated last year
• Jityan / SCLfewshot
  The code for "SCL: Self-supervised contrastive learning for few-shot image classification"
  ☆16Updated 7 months ago
• 2-Chae / PyTorch-tSNE
  ☆56Updated 4 years ago
• Han-Jia / UNICORN-MAML
  PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
  ☆42Updated 10 months ago
• hushell / pmf_cvpr22
  ☆192Updated 6 months ago
• amazon-science / few-shot-baseline
  ☆27Updated 3 years ago
• yhu01 / BMS
  Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'
  ☆39Updated 3 years ago
• cvlab-stonybrook / fsl-rsvae
  ☆34Updated 2 years ago
• Frankluox / CloserLookAgainFewShot
  [ICML 2023] A Closer Look at Few-shot Classification Again
  ☆56Updated last year
• ucasligang / SemMAE
  [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders
  ☆36Updated last year
• xiangyu8 / PT-MAP-sf
  ☆24Updated 3 years ago
• mpatacchiola / contextual-squeeze-and-excitation
  Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 202…
  ☆24Updated 2 years ago
• corwinliu9669 / Learning-a-Few-shot-Embedding-Model-with-Contrastive-Learning
  This repo contains codes for Learning a Few-shot Embedding Model with Contrastive Learning(AAAI2021)
  ☆62Updated 3 years ago
• zhangbq-research / Prototype_Completion_for_FSL
  ☆58Updated 3 years ago
• XDUxyLi / SCEN-master
  ☆18Updated 2 years ago
• nayeemrizve / invariance-equivariance
  "Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Kh…
  ☆38Updated 2 years ago
• Haoqing-Wang / LocalMIM
  [CVPR 2023 Highlight] Masked Image Modeling with Local Multi-Scale Reconstruction
  ☆48Updated last year
• val-iisc / SDAT
  [ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
  ☆69Updated last year
• allenhaozhu / EASE
  For CVPR2022 Submission
  ☆10Updated 2 years ago