teddykoker / grokking
PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
☆34Updated 3 years ago
Alternatives and similar repositories for grokking:
Users that are interested in grokking are comparing it to the libraries listed below
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆67Updated 2 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆58Updated 3 years ago
- ☆24Updated last year
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆60Updated 2 years ago
- Omnigrok: Grokking Beyond Algorithmic Data☆51Updated last year
- Framework-agnostic library for checking array/tensor shapes at runtime.☆47Updated 3 years ago
- ☆35Updated last year
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆57Updated last year
- Hessian spectral density estimation in TF and Jax☆120Updated 4 years ago
- ☆36Updated 2 years ago
- ☆35Updated 2 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆38Updated 4 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆102Updated 4 years ago
- Parameter-Free Optimizers for Pytorch☆109Updated 8 months ago
- ☆10Updated 2 years ago
- This repository contains the Julia code for the paper "Competitive Gradient Descent"☆23Updated 5 years ago
- Image augmentation library for Jax☆37Updated 9 months ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆21Updated 4 years ago
- paper lists and information on mean-field theory of deep learning☆75Updated 5 years ago
- ☆80Updated 3 years ago
- ☆49Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- A metrics library for the JAX ecosystem☆39Updated last year
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆77Updated 10 months ago
- ☆17Updated 3 years ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆82Updated 11 months ago
- An empirical investigation of deep learning theory☆16Updated 5 years ago