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pytorch reformer

GitHub - napoler/reformer-chinese-pytorch: reformer-pytorch 中文版本，简单高效的生成模型。类似GPT2的效果
GitHub - napoler/reformer-chinese-pytorch: reformer-pytorch 中文版本，简单高效的生成模型。类似GPT2的效果

Runtime error when attempting to use data distributed parallel · Issue #19 · lucidrains/reformer-pytorch · GitHub
Runtime error when attempting to use data distributed parallel · Issue #19 · lucidrains/reformer-pytorch · GitHub

Reformer for Translation task. Assertion Error: Sequence length needs to be divisible by bucket size*2 · Issue #72 · lucidrains/reformer-pytorch · GitHub
Reformer for Translation task. Assertion Error: Sequence length needs to be divisible by bucket size*2 · Issue #72 · lucidrains/reformer-pytorch · GitHub

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

💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science

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

performer-pytorch - Python Package Health Analysis | Snyk
performer-pytorch - Python Package Health Analysis | Snyk

Reformer: The Efficient Transformer | reformer-fastai – Weights & Biases
Reformer: The Efficient Transformer | reformer-fastai – Weights & Biases

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

xFormers: Building Blocks for Efficient Transformers at PyTorch Conference 2022 - YouTube
xFormers: Building Blocks for Efficient Transformers at PyTorch Conference 2022 - YouTube

xFormers: Building Blocks for Efficient Transformers at PyTorch Conference 2022 - YouTube
xFormers: Building Blocks for Efficient Transformers at PyTorch Conference 2022 - YouTube

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

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

💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science

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

Augmenting Self-attention with Persistent Memory | Papers With Code
Augmenting Self-attention with Persistent Memory | Papers With Code

💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science

💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science

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

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

PDF] FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness | Semantic Scholar
PDF] FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness | Semantic Scholar

AI Tidbits - Most interesting news in AI | Week of 06/15/23
AI Tidbits - Most interesting news in AI | Week of 06/15/23

DrCoding: Using Transformers to Predict ICD-9 Codes from Discharge Summaries
DrCoding: Using Transformers to Predict ICD-9 Codes from Discharge Summaries

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

GitHub - lucidrains/reformer-pytorch: Reformer, the efficient Transformer, in Pytorch
GitHub - lucidrains/reformer-pytorch: Reformer, the efficient Transformer, in Pytorch