aks2203 / deep-thinking
A centralized place for deep thinking code and experiments
☆77Updated last year
Related projects ⓘ
Alternatives and complementary repositories for deep-thinking
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆34Updated last year
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 2 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆60Updated 2 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆45Updated 9 months ago
- Python library for argument and configuration management☆53Updated last year
- ☆48Updated 9 months ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- ☆58Updated 2 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆66Updated 7 months ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆58Updated 3 years ago
- Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch☆72Updated last year
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆97Updated 4 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆91Updated last year
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆19Updated 11 months ago
- Transformers with doubly stochastic attention☆40Updated 2 years ago
- ☆51Updated 5 months ago
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆64Updated 2 years ago
- Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…☆54Updated last year
- Distilling Model Failures as Directions in Latent Space☆45Updated last year
- ☆53Updated 3 months ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- ☆23Updated last year
- ☆19Updated 2 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
- Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]☆31Updated 2 months ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆43Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆53Updated last year
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- ☆46Updated last month
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆29Updated last year