chengxiang / LinearTransformerLinks
Pytorch code for experiments on Linear Transformers
☆23Updated last year
Alternatives and similar repositories for LinearTransformer
Users that are interested in LinearTransformer are comparing it to the libraries listed below
Sorting:
- ☆71Updated 10 months ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆19Updated 11 months ago
- Omnigrok: Grokking Beyond Algorithmic Data☆62Updated 2 years ago
- ☆45Updated last week
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 4 years ago
- Bayesian Low-Rank Adaptation for Large Language Models☆36Updated last year
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- ☆34Updated 2 years ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆51Updated last year
- ☆240Updated last year
- ☆19Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆105Updated 2 years ago
- Unofficial Implementation of Selective Attention Transformer☆17Updated 11 months ago
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)☆13Updated last year
- Welcome to the 'In Context Learning Theory' Reading Group☆30Updated 11 months ago
- Neural Tangent Kernel Papers☆118Updated 9 months ago
- ☆33Updated last year
- Universal Neurons in GPT2 Language Models☆30Updated last year
- nanoGPT-like codebase for LLM training☆109Updated 5 months ago
- ☆18Updated last year
- ☆49Updated 9 months ago
- Code for the paper: Why Transformers Need Adam: A Hessian Perspective☆64Updated 7 months ago
- Parallelizing non-linear sequential models over the sequence length☆54Updated 4 months ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated 2 years ago
- ☆32Updated 7 months ago
- DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule☆63Updated 2 years ago
- Official PyTorch implementation of NeuralSVD (ICML 2024)☆20Updated last year
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆32Updated last year
- ☆108Updated 8 months ago