aks2203 / deep-thinkingLinks
A centralized place for deep thinking code and experiments
☆86Updated 2 years ago
Alternatives and similar repositories for deep-thinking
Users that are interested in deep-thinking are comparing it to the libraries listed below
Sorting:
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆49Updated last year
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- ☆52Updated 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…☆38Updated 2 years ago
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 2 years ago
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆79Updated 3 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆59Updated 2 years ago
- ☆70Updated 9 months ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- ☆19Updated 3 years ago
- Omnigrok: Grokking Beyond Algorithmic Data☆61Updated 2 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 5 years ago
- Python library for argument and configuration management☆55Updated 2 years ago
- ☆133Updated 4 years ago
- ☆57Updated 11 months ago
- ☆61Updated 3 years ago
- Sparse and discrete interpretability tool for neural networks☆63Updated last year
- ☆55Updated last year
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- ☆68Updated 2 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆31Updated 2 years ago
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]☆36Updated last year
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆152Updated 2 years ago
- ☆51Updated last year
- ☆95Updated 2 years ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year