Alternatives and similar repositories for grokking:

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

• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆76Updated 2 years ago
• ejmichaud / grokking-squared
  ☆24Updated 2 years ago
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆61Updated 3 years ago
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆60Updated 3 years ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆39Updated 4 years ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆105Updated 4 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 5 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆58Updated last year
• KindXiaoming / Omnigrok
  Omnigrok: Grokking Beyond Algorithmic Data
  ☆53Updated 2 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆21Updated 5 years ago
• aks2203 / deep-thinking
  A centralized place for deep thinking code and experiments
  ☆82Updated last year
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆66Updated last year
• f-t-s / CGD
  This repository contains the Julia code for the paper "Competitive Gradient Descent"
  ☆23Updated 5 years ago
• james-simon / eigenlearning
  codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"
  ☆50Updated last year
• andyljones / boardlaw
  Scaling scaling laws with board games.
  ☆48Updated last year
• cgarciae / einop
  ☆60Updated 3 years ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆83Updated last year
• goldblum / TruthOrBackpropaganda
  An empirical investigation of deep learning theory
  ☆16Updated 5 years ago
• rahul13ramesh / compositional_capabilities
  Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
  ☆10Updated 9 months ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆75Updated 6 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆66Updated 6 years ago
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆61Updated 2 years ago
• fKunstner / limitations-empirical-fisher
  Limitations of the Empirical Fisher Approximation
  ☆47Updated 3 weeks ago
• gehring / fax
  ☆80Updated 3 years ago
• 4rtemi5 / imax
  Image augmentation library for Jax
  ☆39Updated 11 months ago
• tk-rusch / unicornn
  Official code for UnICORNN (ICML 2021)
  ☆27Updated 3 years ago
• aradha / recursive_feature_machines
  ☆44Updated this week
• shikaiqiu / compute-better-spent
  ☆52Updated 5 months ago
• choidami / sst
  ☆49Updated 4 years ago
• danielmamay / grokking
  Implementation of OpenAI's 'Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets' paper.
  ☆35Updated last year