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.
  ☆41Updated 3 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
• warriors-30 / SFAT-paddle
  ☆24Updated 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
  ☆70Updated 4 months ago
• xiaoboxia / T-Revision
  NeurIPS'2019: Are Anchor Points Really Indispensable in Label-Noise Learning?
  ☆100Updated 4 years ago
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated 2 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
• wangyu-ustc / LM4CV
  The official implementation of the paper **Learning Concise and Descriptive Attributes for Visual Recognition**
  ☆49Updated 2 years ago
• Chumsy0725 / logit-adj-pytorch
  PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment
  ☆117Updated 4 years ago
• hongwei-wen / LW-loss-for-partial-label
  ☆25Updated 3 years ago
• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆78Updated 4 years ago
• tmlr-group / CoPA
  [NeurIPS 2024] "Mind the Gap between Prototypes and Images in Cross-domain Finetuning"
  ☆10Updated last year
• YuheD / awesome-model-transferability-estimation
  A collection of model transferability estimation methods.
  ☆32Updated last year
• bhanML / label-noise-papers
  An update-to-date list for papers related with label-noise representation learning is here.
  ☆91Updated 4 years ago
• Aboriginer / EOE
  [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"
  ☆15Updated 11 months ago
• hbzju / SoLar
  Source code for NeurIPS 2022 paper SoLar
  ☆30Updated 2 years ago
• YaoRujing / Data-Optimization
  Data Optimization in Deep Learning: A Survey
  ☆19Updated 2 years ago
• GZWQ / Awesome-Long-Tailed
  Papers about long-tailed tasks
  ☆90Updated 3 years ago
• hbzju / PiCO
  PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984
  ☆225Updated 2 years ago
• LTH14 / targeted-supcon
  A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition
  ☆104Updated 2 years ago
• lvjiaqi77 / PRODEN
  Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".
  ☆52Updated 5 years ago
• xiemk / awesome-weakly-supervised-multi-label-learning
  ☆62Updated last year
• zhangyikaii / Model-Spider
  The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"
  ☆21Updated last year
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆56Updated 2 years ago
• LAMDA-CL / Awesome-open-world-learning
  Awesome-open-world-learning
  ☆26Updated 4 years ago
• Aboriginer / ZS-NTTA
  [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"
  ☆17Updated 11 months ago
• ningkp / LfOSA
  ☆19Updated 3 years ago
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆95Updated 3 years ago
• tmllab / 2023_ICLR_Moderate-DS
  ☆31Updated 2 years ago
• MediaBrain-SJTU / BCL
  [ICML2022] Contrastive Learning with Boosted Memorization
  ☆112Updated 2 years ago