Alternatives and similar repositories for fnf:

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

• MadryLab / dataset-replication-analysis
  ☆25Updated 4 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 3 years ago
• LTS4 / hold-me-tight
  Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"
  ☆22Updated 3 years ago
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated last year
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆29Updated 2 years ago
• js-d / sim_metric
  ☆35Updated last year
• minyoungg / overparam
  ☆41Updated 2 years ago
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆35Updated 2 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• AndrewAtanov / semi-supervised-flow-pytorch
  Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"
  ☆10Updated 4 years ago
• tml-epfl / sgd-sparse-features
  SGD with large step sizes learns sparse features [ICML 2023]
  ☆32Updated last year
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated 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
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆54Updated 2 years ago
• AKuzina / attack_vae
  Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
  ☆13Updated 3 years ago
• stanislavfort / OpenAI_CLIP_adversarial_examples
  Developing adversarial examples and showing their semantic generalization for the OpenAI CLIP model (https://github.com/openai/CLIP)
  ☆26Updated 4 years ago
• ganguli-lab / degrees-of-freedom
  ☆36Updated 3 years ago
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆44Updated 3 years ago
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 3 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆29Updated last year
• fKunstner / noise-sgd-adam-sign
  ☆16Updated last year
• yaohungt / Pointwise_Dependency_Neural_Estimation
  ☆20Updated 4 years ago
• MadryLab / BREEDS-Benchmarks
  ☆54Updated 4 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• AilsaF / RS-GAN
  ☆29Updated 4 years ago
• MadryLab / EditingClassifiers
  ☆95Updated 2 years ago
• mil-ad / prospr
  Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients
  ☆31Updated 2 years ago
• preetum / cifar5m
  CIFAR-5m dataset
  ☆38Updated 4 years ago
• cedricrommel / augnet
  Code of "Deep invariant networks with differentiable augmentation layers"
  ☆18Updated 2 years ago