aks2203 / deep-thinking
A centralized place for deep thinking code and experiments
☆82Updated last year
Alternatives and similar repositories for deep-thinking:
Users that are interested in deep-thinking are comparing it to the libraries listed below
- Data for "Datamodels: Predicting Predictions with Training Data"☆95Updated last year
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 2 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆47Updated last year
- ☆49Updated last year
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆76Updated 2 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆61Updated 3 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆68Updated 11 months ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆35Updated 2 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆60Updated 3 years ago
- ☆60Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- ☆52Updated 5 months ago
- Pytorch Datasets for Easy-To-Hard☆27Updated 2 months ago
- ☆61Updated 2 years ago
- ☆24Updated 2 years ago
- ☆28Updated 8 months ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆58Updated last year
- Understanding the interplay between memorization and generalization in neural networks, featuring MAT, a learning algorithm to enhance ro…☆41Updated 3 months ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆79Updated last year
- ☆35Updated last year
- ☆65Updated 3 months ago
- ☆11Updated 7 months ago
- ☆95Updated 2 years ago
- Python library for argument and configuration management☆54Updated 2 years ago
- Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch☆75Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 3 years ago
- Implementation of OpenAI's 'Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets' paper.☆35Updated last year
- ☆133Updated 4 years ago