efficient-attention
a-PyTorch-Tutorial-to-Image-Captioning
| efficient-attention | a-PyTorch-Tutorial-to-Image-Captioning | |
|---|---|---|
| 1 | 1 | |
| 253 | 2,657 | |
| - | - | |
| 1.8 | 0.0 | |
| over 3 years ago | almost 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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efficient-attention
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Efficient Visual Self-Attention - Link to a free online lecture by the author in comments
Efficient attention: https://arxiv.org/abs/1812.01243 https://github.com/cmsflash/efficient-attention
a-PyTorch-Tutorial-to-Image-Captioning
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[R] end-to-end image captioning
I have found this repository: https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning that, seemingly, requires only images and captions, but this is quite old (3 years ago), and is based on LSTMs. I was hoping there are transformers-based implementations that I could use.
What are some alternatives?
vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
meshed-memory-transformer - Meshed-Memory Transformer for Image Captioning. CVPR 2020
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
BLIP - PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
image-to-latex - Convert images of LaTex math equations into LaTex code.
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
catr - Image Captioning Using Transformer
clip-glass - Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"
blip - A tool for seeing your Internet latency. Try it at http://gfblip.appspot.com/
Machine-Learning-Collection - A resource for learning about Machine learning & Deep Learning