Alternatives and similar repositories for spl:

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

• xjtushujun / Meta-SPL
  Pytorch implementation for Meta-SPL (self-paced learning).
  ☆17Updated 4 years ago
• guixianjin / noisy_label_papers
  This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.
  ☆35Updated 3 years ago
• mingkai-zheng / WCL
  Weakly Supervised Contrastive Learning
  ☆41Updated 3 years ago
• xinyuewangg / DGCMM
  ☆13Updated 3 years ago
• chl8856 / DeepIMV
  A Variational Information Bottleneck Approach to Multi-Omics Data Integration
  ☆22Updated 3 years ago
• VITA-Group / Self-PU
  [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…
  ☆67Updated 3 years ago
• JunwenBai / C-GMVAE
  C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification
  ☆47Updated last year
• huaxiuyao / MetaMix
  MetaMix for ICML 2021
  ☆27Updated 3 years ago
• XLearning-SCU / 2021-AAAI-CC
  Code for the paper "Contrastive Clustering" (AAAI 2021)
  ☆83Updated 2 years ago
• BorealisAI / ranksim-imbalanced-regression
  [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
  ☆46Updated 2 years ago
• siavash-khodadadeh / UMTRA-Release
  Unsupervised Meta Learning for Image Classification (UMTRA) algorithm
  ☆20Updated 2 years ago
• huaxiuyao / MLTI
  MLTI for ICLR 2022
  ☆30Updated 2 years ago
• maksym33 / FeatureImportanceDL
  ☆40Updated last year
• congxin95 / DaFeC
  The code of "Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering", ECML-PKDD 2020.
  ☆21Updated 2 years ago
• Evgeneus / Graph-Domain-Adaptaion
  PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)
  ☆102Updated 3 years ago
• palm-ml / valen
  Instance-Dependent Partial Label Learning（NIPS'21）；Variational Label Enhancement for Instance-Dependent Partial Label Learning（TPAMI）
  ☆24Updated 4 months ago
• Luodian / IIB
  ☆16Updated 2 years ago
• SSRSGJYD / Feature-Space-Augmentation-for-Long-Tailed-Data
  Unofficial implementation of ECCV 2020 paper "Feature Space Augmentation for Long-Tailed Data"
  ☆24Updated 2 years ago
• hamanhbui / mDSDI
  Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).
  ☆27Updated 2 years ago
• uvavision / Curriculum-Labeling
  [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
  ☆137Updated 4 years ago
• yimzhai3 / ETD
  Enhanced Transport Distance for Unsupervised Domain Adaptation
  ☆12Updated 4 years ago
• gzqhappy / FGDA
  ☆19Updated 3 years ago
• zhyhan / RDA
  Robust Domain Adaptation under Noisy Environments
  ☆18Updated 2 years ago
• JinyuCai95 / EDESC-pytorch
  ☆25Updated 2 years ago
• IandRover / MAML_noisy_contrasive_learner
  ☆17Updated 2 years ago
• wwangwitsel / PARM
  [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization
  ☆19Updated 2 years ago
• WuYichen-97 / Learning-to-Purify-Noisy-Labels-via-Meta-Soft-Label-Corrector
  [AAAI 21] Utilizing meta-learning to correct the noisy labels.
  ☆13Updated 3 years ago
• makezur / VIB_pytorch
  an implementation of Deep Variational Informational Bottleneck in pytorch (https://arxiv.org/pdf/1612.00410.pdf)
  ☆33Updated 6 years ago
• HC-Feynman / vpu
  A PyTorch implementation of the Variational approach for PU learning
  ☆28Updated 4 years ago