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