Alternatives and similar repositories for grokking-squared

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

• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆58Updated last year
• shikaiqiu / compute-better-spent
  ☆53Updated 8 months ago
• KindXiaoming / Omnigrok
  Omnigrok: Grokking Beyond Algorithmic Data
  ☆58Updated 2 years ago
• AndPotap / einsum-search
  ☆32Updated 8 months ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆56Updated 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
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆78Updated 2 years ago
• lindermanlab / elk
  Scalable and Stable Parallelization of Nonlinear RNNS
  ☆15Updated 4 months ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆63Updated 3 years ago
• Silent-Zebra / twisted-smc-lm
  ☆29Updated 2 months ago
• machine-discovery / deer
  Parallelizing non-linear sequential models over the sequence length
  ☆51Updated 4 months ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆45Updated 2 years ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated last year
• locuslab / edge-of-stability
  ☆67Updated 5 months ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆36Updated last year
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆40Updated last year
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• thudzj / ELLA
  Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')
  ☆16Updated 2 years ago
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆62Updated 4 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆82Updated 2 years ago
• aradha / recursive_feature_machines
  ☆51Updated last month
• aradha / deep_neural_feature_ansatz
  Code for verifying deep neural feature ansatz
  ☆19Updated 2 years ago
• jongharyu / neural-svd
  ☆16Updated 8 months ago
• AllanYangZhou / universal_neural_functional
  ☆51Updated last year
• teddykoker / grokking
  PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆37Updated 3 years ago
• aw31 / empirical-ntks
  Efficient empirical NTKs in PyTorch
  ☆18Updated 2 years ago
• Yujun-Yan / Neural-Execution-Engines
  Code for Neural Execution Engines: Learning to Execute Subroutines
  ☆17Updated 4 years ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆81Updated last year
• choidami / sst
  ☆49Updated 4 years ago
• bergen / EdgeTransformer
  ☆22Updated 3 years ago