Alternatives and similar repositories for Grokking

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

• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated last year
• uclaml / PDE
  Official repo of Progressive Data Expansion: data, code and evaluation
  ☆29Updated last year
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆61Updated 2 years ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆45Updated 2 years ago
• oripress / EntropyEnigma
  Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"
  ☆53Updated last year
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆37Updated last year
• google-deepmind / ssl_hsic
  ☆37Updated last year
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆37Updated 2 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆31Updated 2 years ago
• JonasGeiping / dataaugs
  ☆18Updated 2 years ago
• sayakpaul / robustness-foundation-models
  This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.
  ☆71Updated 2 years ago
• matchten / LoRA-Models-for-SAEs
  Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"
  ☆12Updated 4 months ago
• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• ethz-spylab / superhuman-ai-consistency
  ☆29Updated 2 years ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆89Updated last year
• somepago / dbViz
  The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…
  ☆80Updated 3 years ago
• facebookresearch / DejaVu
  Repository for the paper Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning
  ☆36Updated 2 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• deel-ai / Craft
  👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
  ☆66Updated 2 years ago
• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated last year
• ShanglunFengatETHZ / PrivacyBackdoor
  Privacy backdoors
  ☆51Updated last year
• gregorbachmann / scaling_mlps
  ☆51Updated last year
• MadryLab / bias-transfer
  ☆15Updated 3 years ago
• Newbeeer / V-information
  Code for the ICLR 2020 Paper, "A Theory of Usable Information under Computational Constraints"
  ☆26Updated 5 years ago
• erosenfeld / disagree_discrep
  Provably (and non-vacuously) bounding test error of deep neural networks under distribution shift with unlabeled test data.
  ☆10Updated last year
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 4 years ago
• KaidiXu / LiRPA_Verify
  Code for paper "Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers"
  ☆17Updated 2 years ago
• katiekang1998 / reasoning_generalization
  ☆34Updated 7 months ago
• aks2203 / deep-thinking
  A centralized place for deep thinking code and experiments
  ☆85Updated 2 years ago