Alternatives and similar repositories for viewmaker

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

• ae-foster / invclr
  Improving Transformation Invariance in Contrastive Representation Learning
  ☆13Updated 4 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆57Updated 3 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆108Updated last year
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆122Updated 3 years ago
• facebookresearch / directclr
  Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.
  ☆79Updated 2 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆24Updated 3 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• izmailovpavel / spurious_feature_learning
  ☆46Updated 2 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• htdt / self-supervised
  Whitening for Self-Supervised Representation Learning | Official repository
  ☆131Updated 2 years ago
• awslabs / aws-cv-task2vec
  Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)
  ☆123Updated 2 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 3 years ago
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆42Updated 2 years ago
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆57Updated 3 years ago
• ssnl / moco_align_uniform
  MoCo with Alignment and Uniformity Loss.
  ☆62Updated 3 years ago
• Johswald / learning_where_to_learn
  ☆38Updated 9 months ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆61Updated 3 years ago
• joshr17 / IFM
  Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.
  ☆47Updated 3 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆87Updated 3 years ago
• evandez / neuron-descriptions
  Natural Language Descriptions of Deep Visual Features, ICLR 2022
  ☆65Updated 2 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆35Updated last year
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆77Updated 4 years ago
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆124Updated last year
• MadryLab / EditingClassifiers
  ☆95Updated 2 years ago
• YugeTen / adios
  ☆65Updated 3 years ago
• google-research / head2toe
  ☆81Updated last year
• chandar-lab / IIRC
  IIRC: Incremental Implicitly Refined Classification
  ☆30Updated 2 years ago
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 5 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated 2 years ago