Alternatives and similar repositories for awesome-causal-vision

Users that are interested in awesome-causal-vision are comparing it to the libraries listed below

• VainF / Awesome-Contrastive-Learning
  Awesome Contrastive Learning for CV & NLP
  ☆163Updated 3 years ago
• KaihuaTang / Long-Tailed-Recognition.pytorch
  [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …
  ☆569Updated 10 months ago
• bhanML / label-noise-papers
  An update-to-date list for papers related with label-noise representation learning is here.
  ☆90Updated 3 years ago
• lorenmt / maxl
  The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
  ☆175Updated 3 years ago
• yue-zhongqi / ifsl
  [NeurIPS 2020] Released code for Interventional Few-Shot Learning
  ☆169Updated 3 years ago
• fulifeng / Causal_Reading_Group
  We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…
  ☆517Updated 2 years ago
• yue-zhongqi / gcm-cf
  [CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition
  ☆161Updated 4 years ago
• xjtushujun / meta-weight-net
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
  ☆289Updated 3 years ago
• Sophia-11 / Awesome-NeurIPS2019-NIPS2019
  人工智能和机器学习领域的国际顶级会议NeurIPS论文收集
  ☆101Updated 5 years ago
• danieltan07 / learning-to-reweight-examples
  PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning
  ☆352Updated 6 years ago
• yuntaodu / Transfer-learning-materials
  resource collection for transfer learning!
  ☆250Updated last year
• Clarifai / few-shot-ctm
  Few shot learning
  ☆155Updated 3 years ago
• zzw-zwzhang / Awesome-of-Long-Tailed-Recognition
  A curated list of long-tailed recognition resources.
  ☆584Updated 2 years ago
• evanzd / ICLR2021-OpenReviewData
  Crawl & visualize ICLR papers and reviews.
  ☆447Updated 3 years ago
• csyanbin / TPN
  Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
  ☆242Updated 6 years ago
• liulu112601 / Prototype-Propagation-Net
  IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
  ☆55Updated 5 years ago
• yangxuntu / lxmertcatt
  ☆73Updated 2 years ago
• wvangansbeke / Self-Supervised-Learning-Overview
  📜 Self-Supervised Learning from Images: Up-to-date reading list.
  ☆201Updated 3 years ago
• HCPLab-SYSU / SSGRL
  ☆164Updated 3 years ago
• k-han / AutoNovel
  "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…
  ☆229Updated 5 years ago
• yinboc / DGP
  Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019
  ☆319Updated 6 years ago
• bcmi / Awesome-Weak-Shot-Learning
  A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.
  ☆183Updated 2 years ago
• cuishuhao / BNM
  code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)
  ☆269Updated last year
• maple-research-lab / AdCo
  AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
  ☆162Updated 2 years ago
• lijiaman / awesome-transformer-for-vision
  ☆279Updated 4 years ago
• familyld / Awesome-Best-Papers
  Collect awesome best papers from top AI conferences.
  ☆470Updated 3 years ago
• leokarlin / LaSO
  LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation
  ☆88Updated last year
• gorkemalgan / deep_learning_with_noisy_labels_literature
  This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
  ☆234Updated 3 years ago
• haebeom-lee / l2b
  Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)
  ☆101Updated 4 years ago
• tczhangzhi / awesome-normalization-techniques
  Papers for normalization techniques, released codes collections.
  ☆226Updated 4 years ago