chengxiang / LinearTransformer
Pytorch code for experiments on Linear Transformers
☆16Updated last year
Alternatives and similar repositories for LinearTransformer:
Users that are interested in LinearTransformer are comparing it to the libraries listed below
- ☆62Updated last month
- Efficient empirical NTKs in PyTorch☆18Updated 2 years ago
- Welcome to the 'In Context Learning Theory' Reading Group☆26Updated 2 months ago
- Source code of "What can linearized neural networks actually say about generalization?☆19Updated 3 years ago
- Deep Learning & Information Bottleneck☆53Updated last year
- This repo contains papers, books, tutorials and resources on Riemannian optimization.☆28Updated last month
- Omnigrok: Grokking Beyond Algorithmic Data☆51Updated last year
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆14Updated last month
- Code for the paper: Why Transformers Need Adam: A Hessian Perspective☆47Updated 8 months ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆20Updated 6 months ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated last year
- ☆34Updated 11 months ago
- Neural Tangent Kernel Papers☆101Updated this week
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- ☆20Updated 3 months ago
- ☆27Updated last year
- ☆30Updated 3 weeks ago
- Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"☆20Updated last year
- Universal Neurons in GPT2 Language Models☆27Updated 7 months ago
- ☆82Updated 11 months ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆53Updated 2 years ago
- ☆15Updated 4 months ago
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)☆13Updated 5 months ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆34Updated last year
- ☆50Updated 3 months ago
- ☆51Updated 7 months ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆45Updated 7 months ago
- Bayesian low-rank adaptation for large language models☆23Updated 8 months ago
- ☆15Updated 2 years ago
- ☆16Updated 2 months ago