Alternatives and similar repositories for BML:

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

• chmxu / Dynamic-Meta-filter
  ☆25Updated 3 years ago
• uqzhichen / SDGZSL
  [ICCV2021] Official Pytorch implementation for SDGZSL (Semantics Disentangling for Generalized Zero-Shot Learning)
  ☆37Updated 3 years ago
• LouieYang / MCL
  Code and data for paper https://arxiv.org/pdf/2106.05517.pdf (CVPR 2022)
  ☆51Updated 2 years ago
• youthhoo / AFA_For_Few_shot_learning
  ☆19Updated 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…
  ☆131Updated 11 months ago
• mrkshllr / FewTURE
  Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]
  ☆57Updated last year
• cvlab-stonybrook / fsl-rsvae
  ☆34Updated 2 years ago
• shiming-chen / MSDN
  Official PyTorch Implementation of MSDN (CVPR'22)
  ☆52Updated 2 years ago
• nayeemrizve / invariance-equivariance
  "Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Kh…
  ☆37Updated last year
• wenjiaXu / APN-ZSL
  This is a PyTorch implementation of the paper "Attribute Prototype Network for Zero-Shot Learning".
  ☆69Updated 2 years ago
• MinkiJ / SnaTCHer
  [CVPR 2021] Few-shot Open-set Recognition by Transformation Consistency
  ☆25Updated 3 years ago
• Tsingularity / FRN
  (CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks
  ☆113Updated last year
• lovelyqian / StyleAdv-CDFSL
  Repository for the CVPR-2023 paper : StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
  ☆53Updated last month
• hbdat / neurIPS20_CompositionZSL
  Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition accepted @ Neurips20
  ☆25Updated 3 years ago
• shiming-chen / TransZero
  Official PyTorch Implementation of TransZero (AAAI'22)
  ☆80Updated last year
• jxhuang0508 / HCL
  <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021
  ☆49Updated 2 years ago
• zhukaii / SPPR
  Implementation of the paper "Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning"
  ☆87Updated 2 years ago
• WentaoChen0813 / SemanticPrompt
  ☆35Updated last year
• lovelyqian / ME-D2N_for_CDFSL
  Repository for the paper : ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning
  ☆22Updated 11 months ago
• cvlab-stonybrook / vfd-iccv21
  ☆18Updated 2 years ago
• wenjiaXu / VGSE
  ☆37Updated 2 years ago
• zhyx12 / CRCo
  ☆34Updated last year
• MichalisLazarou / iLPC
  accepted at ICCV 2021
  ☆21Updated this week
• zhangbq-research / Prototype_Completion_for_FSL
  ☆59Updated 3 years ago
• VisionLearningGroup / OVANet
  Repository for OVANet
  ☆85Updated 3 years ago
• mlpc-ucsd / ConstellationNet
  (ICLR 2021) ConstellationNet: Attentional Constellation Nets for Few-Shot Learning
  ☆14Updated 2 years ago
• Haoqing-Wang / CDFSL-ATA
  [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
  ☆63Updated 2 years ago
• Frankluox / Channel_Importance_FSL
  [ICML 2022] Channel Importance Matters in Few-shot Image Classification
  ☆56Updated last year
• Albert0147 / G-SFDA
  code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
  ☆103Updated 2 years ago
• dahyun-kang / renet
  [ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification
  ☆116Updated 3 years ago