aks2203 / deep-thinkingLinks
A centralized place for deep thinking code and experiments
☆84Updated last year
Alternatives and similar repositories for deep-thinking
Users that are interested in deep-thinking are comparing it to the libraries listed below
Sorting:
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 2 years ago
- Pytorch Datasets for Easy-To-Hard☆27Updated 5 months ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆47Updated last year
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- ☆60Updated 3 years ago
- ☆26Updated 2 years ago
- ☆51Updated last year
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆78Updated 2 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago
- ☆68Updated 6 months ago
- 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
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆22Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated last year
- ☆53Updated 8 months ago
- nanoGPT-like codebase for LLM training☆98Updated last month
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- ☆99Updated 3 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆57Updated last year
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆69Updated last year
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- Python library for argument and configuration management☆54Updated 2 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆30Updated 2 years ago
- ☆53Updated last year
- ☆26Updated 4 months ago