aks2203 / deep-thinkingLinks
A centralized place for deep thinking code and experiments
☆85Updated 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:
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆48Updated last year
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years 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
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 2 years ago
- ☆51Updated last year
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆59Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated last year
- ☆70Updated 7 months ago
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆78Updated 3 years ago
- ☆19Updated 3 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- Python library for argument and configuration management☆54Updated 2 years ago
- ☆133Updated 4 years ago
- ☆95Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Omnigrok: Grokking Beyond Algorithmic Data☆60Updated 2 years ago
- Code associated to papers on superposition (in ML interpretability)☆29Updated 2 years ago
- ☆53Updated 10 months ago
- Code for "Supermasks in Superposition"☆124Updated last year
- Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)☆11Updated 2 years ago
- The Energy Transformer block, in JAX☆59Updated last year
- Sparse and discrete interpretability tool for neural networks☆63Updated last year
- nanoGPT-like codebase for LLM training☆102Updated 2 months ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆180Updated last week
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- ☆26Updated 2 years ago
- ☆37Updated last year