a-PyTorch-Tutorial-to-Image-Captioning
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a-PyTorch-Tutorial-to-Image-Captioning | catr | |
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1 | 2 | |
2,657 | 242 | |
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0.0 | 0.0 | |
almost 2 years ago | almost 2 years ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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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.
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What are some alternatives?
meshed-memory-transformer - Meshed-Memory Transformer for Image Captioning. CVPR 2020
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
BLIP - PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
perturb-predict-paraphrase - Implementation of Perturb, Predict & Paraphrase: Semi-supervised Learning using Noisy Student for Image Captioning
image-to-latex - Convert images of LaTex math equations into LaTex code.
virtex - [CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
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/
efficient-attention - An implementation of the efficient attention module.
Machine-Learning-Collection - A resource for learning about Machine learning & Deep Learning