KindXiaoming / Omnigrok
Omnigrok: Grokking Beyond Algorithmic Data
☆54Updated 2 years ago
Alternatives and similar repositories for Omnigrok:
Users that are interested in Omnigrok are comparing it to the libraries listed below
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆76Updated 2 years ago
- Implementation of OpenAI's 'Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets' paper.☆36Updated last year
- ☆65Updated 3 months ago
- ☆52Updated 6 months ago
- Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.☆166Updated last year
- ☆45Updated last week
- Deep Learning & Information Bottleneck☆58Updated last year
- ☆24Updated 2 years ago
- DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule☆60Updated last year
- Implementation of PSGD optimizer in JAX☆30Updated 3 months ago
- ☆16Updated 6 months ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆61Updated 3 years ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆83Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆34Updated 3 weeks ago
- ☆30Updated 5 months ago
- Universal Neurons in GPT2 Language Models☆27Updated 10 months ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆20Updated 8 months ago
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 2 years ago
- Parallelizing non-linear sequential models over the sequence length☆51Updated 2 months ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆36Updated 2 years ago
- Neural Tangent Kernel Papers☆108Updated 2 months ago
- ☆51Updated 10 months ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 4 years ago
- Sparse Autoencoder Training Library☆47Updated 5 months ago
- ☆27Updated last week
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆16Updated 4 months ago
- Code associated to papers on superposition (in ML interpretability)☆28Updated 2 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆171Updated this week
- Learning Universal Predictors☆73Updated 8 months ago