abietti / transformer-birthLinks
☆19Updated 2 years ago
Alternatives and similar repositories for transformer-birth
Users that are interested in transformer-birth are comparing it to the libraries listed below
Sorting:
- ☆35Updated last year
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- ☆73Updated last year
- ☆36Updated 3 years ago
- ☆32Updated 2 years ago
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated 8 months ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- Parallelizing non-linear sequential models over the sequence length☆56Updated 6 months ago
- ☆53Updated last year
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆106Updated 2 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated 2 years ago
- ☆113Updated 11 months ago
- The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…☆99Updated 4 years ago
- ☆74Updated 3 years ago
- ☆107Updated last year
- Experiments on the impact of depth in transformers and SSMs.☆40Updated 2 months ago
- Sparse and discrete interpretability tool for neural networks☆64Updated last year
- ☆22Updated 4 years ago
- ☆45Updated 2 years ago
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆70Updated last year
- Efficient Transformers with Dynamic Token Pooling☆67Updated 2 years ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆40Updated 2 years ago
- ☆24Updated 9 months ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆20Updated last year
- Implementations of various linear RNN layers using pytorch and triton☆54Updated 2 years ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- ☆63Updated 4 years ago
- [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)☆34Updated 2 years ago
- ☆20Updated 2 months ago
- Official Code Repository for the paper "Key-value memory in the brain"☆31Updated 10 months ago