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Attention Snn

Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)

Categories > Machine Learning > Attention Mechanism

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28

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mit

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5 months ago

Programming Language

Python

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Programming Languages > Python

Machine Learning > Attention Mechanism

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Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

dependent packages 6total releases 184most recent commit 6 months ago

pypi vit-pytorch} Downloads

Ml Nlp ⭐ 10,874

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

most recent commit 3 years ago

Rwkv Lm ⭐ 10,705

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

most recent commit 5 months ago

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all kinds of text classification models and more with deep learning

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total releases 69most recent commit 5 months ago

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Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

total releases 174most recent commit 4 months ago

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A collection of important graph embedding, classification and representation learning papers with implementations.

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most recent commit a year ago

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A simple but complete full-attention transformer with a set of promising experimental features from various papers

dependent packages 10total releases 317most recent commit 5 months ago

pypi x-transformers} Downloads

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