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Jupyter Notebook |
5301 |
Efficient Image Captioning code in Torch, runs on GPU |
Aug 21, 2022 |
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Jupyter Notebook |
4 |
Efficient Image Captioning code in Torch, runs on GPU |
Apr 04, 2022 |
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Jupyter Notebook |
8 |
Efficient Image Captioning code in Torch, runs on GPU, using Deep Residual Network (ResNet). |
Aug 02, 2020 |
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Jupyter Notebook |
1538 |
Dense image captioning in Torch |
May 04, 2023 |
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Python |
7 |
Efficient modeling of future context for image captioning |
Oct 13, 2022 |
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Python |
2 |
Code for Unsupervised Image Captioning |
Nov 06, 2019 |
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Jupyter Notebook |
5 |
Image Captioning |
May 05, 2022 |
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Jupyter Notebook |
115 |
BERT + Image Captioning |
Aug 12, 2022 |
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Python |
35 |
Biomedical Image Captioning |
Apr 08, 2023 |
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Python |
2 |
Image captioning codebase |
Aug 15, 2023 |
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Python |
39 |
Image Captioning through Image Transformer |
Aug 09, 2022 |
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Python |
10 |
Image captioning with Transformer |
Nov 11, 2022 |
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Python |
2 |
Image Captioning with tensorflow |
Mar 20, 2021 |
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Python |
2 |
Memory augmented image captioning |
Jul 30, 2022 |
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None |
2 |
Semi-Autoregressive Image Captioning |
Dec 26, 2021 |
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Python |
2 |
Captionate - Image Captioning Toolkit |
Oct 12, 2019 |
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Jupyter Notebook |
868 |
Simple image captioning model |
Apr 25, 2023 |
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None |
8 |
image captioning paper list |
Nov 18, 2021 |
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None |
62 |
Cross-lingual image captioning |
May 04, 2023 |
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None |
2 |
Image Captioning Using Transformer |
Feb 27, 2023 |
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Jupyter Notebook |
2 |
Implement image captioning examples |
Jul 14, 2023 |
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Jupyter Notebook |
3 |
Open-source examination of torch distributed vs torch XLA vs single GPU |
Jul 23, 2022 |
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Python |
3 |
torch-image-classification-pipeline |
Sep 12, 2021 |
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Python |
19 |
Optimized code based on M2 for faster image captioning training |
Mar 08, 2023 |
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Lua |
2 |
Efficient, reusable RNNs and LSTMs for torch |
May 05, 2016 |
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Lua |
2 |
Efficient, reusable RNNs and LSTMs for torch |
Apr 21, 2020 |
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Lua |
2 |
Efficient, reusable RNNs and LSTMs for torch |
Aug 17, 2019 |
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Lua |
2432 |
Efficient, reusable RNNs and LSTMs for torch |
May 04, 2023 |
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|
Lua |
2 |
Efficient, reusable RNNs and LSTMs for torch |
Mar 11, 2017 |
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Python |
9 |
Partially Non-Autoregressive Image Captioning |
Apr 21, 2022 |
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Python |
14 |
natual language guided image captioning |
Apr 27, 2023 |
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JavaScript |
2 |
Image Captioning in Web VR |
Dec 17, 2022 |
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C++ |
15 |
A crystal plasticity FEM code that runs on the GPU |
May 26, 2022 |
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Python |
21 |
Code and data for Aesthetic Image Captioning from Weakly-Labelled Photographs |
May 28, 2023 |
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|
C |
206 |
An Image toolbox for Torch. |
Apr 12, 2023 |
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|
None |
7 |
Docker image for Torch with CUDA support + extra Torch libraries |
Aug 10, 2019 |
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C++ |
20 |
Torch video loading library with support for GPU decoding |
Mar 17, 2023 |
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Python |
5 |
Dynamic Early Exit for Image Captioning |
Jul 17, 2022 |
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Jupyter Notebook |
13 |
Medical image captioning using OpenAI's CLIP |
Apr 07, 2023 |
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Python |
10 |
Image captioning using python and BLIP |
Apr 28, 2023 |
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None |
2 |
Controllable Image Captioning with Diffusion Model |
Jan 31, 2023 |
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|
None |
15 |
A bilingual dataset for image captioning |
May 03, 2023 |
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Python |
112 |
TensorFlow (TensorLayer) Implementation of Image Captioning |
Mar 02, 2023 |
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Python |
3 |
Image Captioning with EffiecentNet and Transformer |
Sep 09, 2023 |
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Python |
2 |
Attention-Aligned Transformer for Image Captioning |
Mar 03, 2024 |
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|
Jupyter Notebook |
2 |
Image Captioning: Implementing the Image Caption Generator with python |
Apr 12, 2022 |
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Shell |
26 |
A Docker image for Lua Torch |
Feb 22, 2023 |
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Jupyter Notebook |
2 |
Self-critical Sequence Training for Image Captioning |
May 24, 2019 |
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Python |
2 |
Promoting Coherence and Diversity in Image Captioning |
May 20, 2022 |
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Python |
11 |
Towards Local Visual Modeling for Image Captioning |
Apr 16, 2023 |