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Reformer explained (Paper + 🤗Hugging Face code) - YouTube
Reformer explained (Paper + 🤗Hugging Face code) - YouTube

Reproducibility Challenge 2020 - fastai folks interested - #39 by stefan-ai - Deep Learning - fast.ai Course Forums
Reproducibility Challenge 2020 - fastai folks interested - #39 by stefan-ai - Deep Learning - fast.ai Course Forums

Reformer: The Efficient Transformer | Papers With Code
Reformer: The Efficient Transformer | Papers With Code

Illustrating the Reformer - KDnuggets
Illustrating the Reformer - KDnuggets

Model Zoo - reformer-pytorch PyTorch Model
Model Zoo - reformer-pytorch PyTorch Model

D] Video Analysis - Reformer: The Efficient Transformer : r/MachineLearning
D] Video Analysis - Reformer: The Efficient Transformer : r/MachineLearning

reformer · GitHub Topics · GitHub
reformer · GitHub Topics · GitHub

The Reformer - Pushing the limits of language modeling
The Reformer - Pushing the limits of language modeling

ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer
ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer

Reformer: The Efficient Transformer | DeepAI
Reformer: The Efficient Transformer | DeepAI

Applying and Adapting the Reformer as a Computationally Efficient Approach to the SQuAD 2.0 Question-Answering Task
Applying and Adapting the Reformer as a Computationally Efficient Approach to the SQuAD 2.0 Question-Answering Task

reformer · GitHub Topics · GitHub
reformer · GitHub Topics · GitHub

reformer · GitHub Topics · GitHub
reformer · GitHub Topics · GitHub

google/reformer-enwik8 · Hugging Face
google/reformer-enwik8 · Hugging Face

NLP Newsletter: Reformer, DeepMath, ELECTRA, TinyBERT for Search, VizSeq, Open-Sourcing ML,… | by elvis | DAIR.AI | Medium
NLP Newsletter: Reformer, DeepMath, ELECTRA, TinyBERT for Search, VizSeq, Open-Sourcing ML,… | by elvis | DAIR.AI | Medium

ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer
ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer

Illustrating the Reformer - KDnuggets
Illustrating the Reformer - KDnuggets

Profile of lucidrains · PyPI
Profile of lucidrains · PyPI

The Reformer - Pushing the limits of language modeling
The Reformer - Pushing the limits of language modeling

Reformer: The Efficient Transformer | DeepAI
Reformer: The Efficient Transformer | DeepAI

The Reformer - Pushing the limits of language modeling
The Reformer - Pushing the limits of language modeling

ICLR 2020: Efficient NLP - Transformers | ntentional
ICLR 2020: Efficient NLP - Transformers | ntentional

Probabilistic Forecasting through Reformer Conditioned Normalizing Flows
Probabilistic Forecasting through Reformer Conditioned Normalizing Flows

GLU Variants Improve Transformer | Papers With Code
GLU Variants Improve Transformer | Papers With Code

performance · Issue #75 · lucidrains/reformer-pytorch · GitHub
performance · Issue #75 · lucidrains/reformer-pytorch · GitHub

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
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