Illustrating the Reformer. ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
Applying and Adapting the Reformer as a Computationally Efficient Approach to the SQuAD 2.0 Question-Answering Task
Reformer: The Efficient Transformer | Papers With Code
reformer · GitHub Topics · GitHub
Reformer explained (Paper + 🤗Hugging Face code) - YouTube
ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer
reformer · GitHub Topics · GitHub
Google & UC Berkeley 'Reformer' Runs 64K Sequences on One GPU | by Synced | SyncedReview | Medium
💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
Reproducibility Challenge 2020 - fastai folks interested - #39 by stefan-ai - Deep Learning - fast.ai Course Forums
reformer · GitHub Topics · GitHub
Don't understand how REFORMER tokenizes words · Issue #33 · lucidrains/ reformer-pytorch · GitHub
💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
The Reformer - Pushing the limits of language modeling
Albert Gu on Twitter: "(1.2/n) SSMs are easy to use! We release a PyTorch layer that maps (batch, length, dim) -> (batch, length, dim). S4 is a drop-in for CNNs/RNNs/Transformers, and is
reformer · GitHub Topics · GitHub
Some questions about reformer implementation · Issue #9 · lucidrains/ reformer-pytorch · GitHub
xFormers: Building Blocks for Efficient Transformers at PyTorch Conference 2022 - YouTube
ICLR 2020: Efficient NLP - Transformers | ntentional
💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
performance · Issue #75 · lucidrains/reformer-pytorch · GitHub
google/reformer-enwik8 · Hugging Face
Reformer, Longformer, and ELECTRA: Key Updates To Transformer Architecture In 2020
AK on Twitter: "check out @lucidrains github for paper implementations like stylegan2-pytorch, DALLE-pytorch, alphafold2, reformer-pytorch etc github: https://t.co/6yQGFqMdY1" / Twitter
