lucidrains / pause-transformerLinks
Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount of time on any token
☆52Updated 2 years ago
Alternatives and similar repositories for pause-transformer
Users that are interested in pause-transformer are comparing it to the libraries listed below
Sorting:
- Implementation of GateLoop Transformer in Pytorch and Jax☆90Updated last year
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆119Updated last year
- Implementation of Infini-Transformer in Pytorch☆113Updated 10 months ago
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated last year
- Griffin MQA + Hawk Linear RNN Hybrid☆89Updated last year
- ☆61Updated last year
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆89Updated last year
- ☆81Updated last year
- Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023☆137Updated last year
- ☆53Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆85Updated last year
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆57Updated last year
- LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence☆60Updated 3 years ago
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆38Updated 5 months ago
- ☆166Updated 2 years ago
- A MAD laboratory to improve AI architecture designs 🧪☆132Updated 10 months ago
- Implementation of the Llama architecture with RLHF + Q-learning☆167Updated 9 months ago
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆68Updated last year
- ☆83Updated last year
- Mixture of A Million Experts☆49Updated last year
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆131Updated last week
- ☆45Updated 2 years ago
- ☆87Updated last year
- ☆48Updated last year
- Here we will test various linear attention designs.☆61Updated last year
- Official Repository of Pretraining Without Attention (BiGS), BiGS is the first model to achieve BERT-level transfer learning on the GLUE …☆114Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆103Updated 10 months ago
- Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT☆222Updated last year
- Token Omission Via Attention☆127Updated last year