Alternatives and similar repositories for fnf:

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

• LTS4 / hold-me-tight
  Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"
  ☆22Updated 3 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 3 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆44Updated 4 years ago
• js-d / sim_metric
  ☆35Updated last year
• MadryLab / dataset-replication-analysis
  ☆25Updated 4 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated last year
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆35Updated 2 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆29Updated 4 years ago
• 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
• tml-epfl / sgd-sparse-features
  SGD with large step sizes learns sparse features [ICML 2023]
  ☆32Updated last year
• facebookresearch / fisher_information_loss
  This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"
  ☆50Updated 3 years ago
• ae-foster / invclr
  Improving Transformation Invariance in Contrastive Representation Learning
  ☆13Updated 4 years ago
• clustr-official-account / Rethinking-Clustering-for-Robustness
  This is the official implementation of ClusTR: Clustering Training for Robustness paper.
  ☆20Updated 3 years ago
• chingyaoc / estimating-generalization
  ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
  ☆23Updated 4 years ago
• AKuzina / attack_vae
  Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
  ☆13Updated 3 years ago
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• ok1zjf / LBAE
  PyTorch implementation of the ICML 2020 paper "Latent Bernoulli Autoencoder"
  ☆24Updated 4 years ago
• parthnatekar / pgdl
  Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
  ☆40Updated 4 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆55Updated 2 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• preetum / cifar5m
  CIFAR-5m dataset
  ☆38Updated 4 years ago
• inspire-group / robustness-via-transport
  ☆12Updated 5 years ago
• JonasGeiping / fullbatchtraining
  Training vision models with full-batch gradient descent and regularization
  ☆37Updated 2 years ago
• nitarshan / robust-generalization-measures
  Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)
  ☆28Updated 4 years ago
• amodas / PRIME-augmentations
  PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
  ☆42Updated 2 years ago
• MadryLab / BREEDS-Benchmarks
  ☆54Updated 4 years ago
• AilsaF / RS-GAN
  ☆31Updated 4 years ago