Alternatives and similar repositories for XRM:

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

• brendel-group / cl-ica
  Code for the paper "Contrastive Learning Inverts the Data Generating Process".
  ☆90Updated 8 months ago
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• alecwangcq / GraSP
  Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH
  ☆103Updated 5 years ago
• Sanaelotfi / Bayesian_model_comparison
  Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
  ☆35Updated 2 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 2 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆40Updated 2 years ago
• timgaripov / dnn-mode-connectivity
  Mode Connectivity and Fast Geometric Ensembles in PyTorch
  ☆269Updated 2 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• KellerJordan / REPAIR
  Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
  ☆47Updated last year
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆83Updated 3 years ago
• libffcv / ffcv-imagenet
  Train ImageNet *fast* in 500 lines of code with FFCV
  ☆141Updated 11 months ago
• bobby-he / Neural_Tangent_Kernel
  ☆66Updated 6 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆86Updated 2 years ago
• gortizji / linearized-networks
  Source code of "What can linearized neural networks actually say about generalization?
  ☆20Updated 3 years ago
• locuslab / edge-of-stability
  ☆67Updated 4 months ago
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆49Updated 4 years ago
• harshays / simplicitybiaspitfalls
  The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)
  ☆39Updated last year
• modestyachts / imagenet-testbed
  ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."
  ☆118Updated last year
• gibipara92 / learning-explanations-hard-to-vary
  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …
  ☆39Updated 4 years ago
• aniruddhraghu / meta-pretraining
  Code accompanying paper: Meta-Learning to Improve Pre-Training
  ☆37Updated 3 years ago
• avirmaux / lipEstimation
  ☆58Updated 2 years ago
• bethgelab / InDomainGeneralizationBenchmark
  ☆34Updated 3 years ago
• apple / learning-subspaces
  ☆133Updated 4 years ago
• mccrearyd / rigl-torch
  Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.
  ☆56Updated 3 years ago
• acmi-lab / cmu-10732-robustness-adaptivity-shift
  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
  ☆73Updated 2 years ago
• a7b23 / H-Divergence
  ☆21Updated 2 years ago
• cybertronai / autograd-hacks
  ☆157Updated 2 years ago
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆32Updated 7 months ago
• allenai / hidden-networks
  ☆190Updated 4 years ago