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NVlabs
mambavision

[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

2K 2K 139
veb-101
keras-vision

Porting vision models to Keras 3 for easily accessibility. Contains MobileViT v1, MobileViT v2, fastvit

2K 15 3
NVlabs
fastervit

FasterViT: Fast Vision Transformers with Hierarchical Attention

2K 914 69
sparks-baird
crabnet

Predict materials properties using only the composition information!

2K 17 7
awsaf49
gcvit

Tensorflow 2.0 Implementation of GCViT: Global Context Vision Transformer

1K 28 6
lucidrains
gsa-pytorch

Global Self-attention Network (GSA) - Pytorch

653 94 7
microsoft
deberta

The implementation of DeBERTa

640 2K 239
Qingfeng-233
keyatten

KeyAtten: Attention-based Zero-Shot Keyword & Keyphrase Extraction

503 11 1
The-AI-Summer
self-attention-cv

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

386 1K 152
esceptico
perceiver-io-pytorch

Unofficial implementation of Perceiver IO

367 129 5
zabaras
trphysx

Transformers for modeling physical systems

304 148 37
tensorops
transformerx

Flexible Python library providing building blocks (layers) for reproducible Transformers research (Tensorflow ✅, Pytorch 🔜, and Jax 🔜)

184 53 9
nicolay-r
arenets

Tensorflow-based framework which lists implementation of conventional neural network models (CNN, RNN-based) for Relation Extraction classification tasks as well as API for custom model implementation

159 8 0
jiangnanboy
rnn4ie

Chinese Information Extraction Toolkit。中文信息抽取工具

159 2 0
NVlabs
fixedvit

fixed version of fastervit implementation https://github.com/NVlabs/FasterViT

146 914 69
NVlabs
correctedvit

[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

101 914 69
NVlabs
fastervitfixed

fixed version of fastervit implementation https://github.com/NVlabs/FasterViT

97 914 69
abhilash1910
graphattentionnetworks

This package is a Tensorflow2/Keras implementation for Graph Attention Network embeddings and also provides a Trainable layer for Multihead Graph Attention.

69 3 0
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