Alternatives and similar repositories for SchemaNet-PyTorch

Users that are interested in SchemaNet-PyTorch are comparing it to the libraries listed below

• xmq1221 / awesome-prototype-based-papers
  This is a list of awesome prototype-based papers for explainable artificial intelligence.
  ☆39Updated 2 years ago
• jiaconghu / Model-Doctor
  Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers [https://arxiv.org/pdf/2112.04934.pdf]
  ☆15Updated 2 years ago
• YaoRujing / Data-Optimization
  Data Optimization in Deep Learning: A Survey
  ☆19Updated 2 years ago
• wu-dd / Advances-in-Partial-and-Complementary-Label-Learning
  A curated list of most recent papers & codes in Learning with Partial/Complementary Labels
  ☆67Updated 2 months ago
• warriors-30 / SFAT-paddle
  ☆24Updated 2 years ago
• Chumsy0725 / logit-adj-pytorch
  PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment
  ☆118Updated 4 years ago
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated 2 years ago
• xiaoboxia / T-Revision
  NeurIPS'2019: Are Anchor Points Really Indispensable in Label-Noise Learning?
  ☆100Updated 4 years ago
• MediaBrain-SJTU / BCL
  [ICML2022] Contrastive Learning with Boosted Memorization
  ☆112Updated last year
• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆78Updated 4 years ago
• ChengtaiCao / Awesome-Mix
  A curated list of awesome Mix
  ☆72Updated 2 years ago
• xiaoboxia / CoDis
  ICCV'2023: Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples
  ☆11Updated 2 years ago
• yaoxufeng / PCL-Proxy-based-Contrastive-Learning-for-Domain-Generalization
  ☆61Updated 3 years ago
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆95Updated 3 years ago
• bhanML / label-noise-papers
  An update-to-date list for papers related with label-noise representation learning is here.
  ☆90Updated 4 years ago
• ShiYunyi / Meta-Weight-Net_Code-Optimization
  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
  ☆62Updated 4 years ago
• Rorozhl / CA-MKD
  This is the implementation for the ICASSP-2022 paper (Confidence-Aware Multi-Teacher Knowledge Distillation).
  ☆63Updated 3 years ago
• GZWQ / Awesome-Long-Tailed
  Papers about long-tailed tasks
  ☆90Updated 2 years ago
• tmlr-group / CoPA
  [NeurIPS 2024] "Mind the Gap between Prototypes and Images in Cross-domain Finetuning"
  ☆10Updated last year
• MediaBrain-SJTU / RECORDS-LTPLL
  [ICLR 2023] PyTorch implementation for "Long-Tailed Partial Label Learning via Dynamic Rebalancing"
  ☆57Updated 2 years ago
• AnTuo1998 / AE-KD
  ☆27Updated 4 years ago
• Sherrylone / ARB
  CVPR 2022 paper
  ☆16Updated 3 years ago
• SII-Ferenas / CAVL
  Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)
  ☆14Updated 3 years ago
• hbzju / SoLar
  Source code for NeurIPS 2022 paper SoLar
  ☆29Updated last year
• xiemk / awesome-weakly-supervised-multi-label-learning
  ☆62Updated last year
• YuheD / awesome-model-transferability-estimation
  A collection of model transferability estimation methods.
  ☆29Updated last year
• ningkp / LfOSA
  ☆19Updated 3 years ago
• zhangyikaii / LAMDA-ZhiJian
  ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
  ☆49Updated 2 years ago
• hongwei-wen / LW-loss-for-partial-label
  ☆24Updated 3 years ago
• yfzhang114 / AdaNPC
  This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
  ☆86Updated last year