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The main improvement needed for Ocrs to be more useful is higher text recognition accuracy / lower error rate, especially with longer lines. Also for multilingual support, examples in more languages w…
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- https://arxiv.org/pdf/2403.07815.pdf
| **Why (Problem/Need)** | **What (Solution/Tool)** | **How (Method/Approach)** |
|------------------------|--------------------------|----------------------…
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Hi @thtrieu , thank you for your great work. Could you please share with me the Training Dataset (~100 million unique theorem-proof) OR the script for Data Generation for research purpose only? Thank …
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Curren generation logic is utterly confused, need somewhat structure to reason through the generation pipeline + to be clear and concise about our synthetic data generation process
```
generation_…
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WWW
As a reasearcher wanting to understand the impact of synthetic data used for training a spelling corrector, I would like to train a sequence to sequence model based on BART from the artificially g…
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### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a sim…
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### Missing functionality
The data generated is rarely what I need for modeling
### Proposed feature
Hi, if I have 10 features of x1/x2/x3 etc, is it possible to customize x1 & x2 and then use CTGA…
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Hello,
I have been trying to apply the DoppleGANger (DGAN) model on my 1-lead ECG dataset to generate synthetic data but after some tries and tuning some basic hyperparameters, the model does not l…
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Paper : https://arxiv.org/pdf/2103.14843.pdf
## Introduction
오늘 읽어볼 논문은 CVPR 2021년에 소개된 "From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation" 입니다.
Synthetic …
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Dear @fjxmlzn and @wangchen615,
I am really interested in your work in synthetic generation of time series data with high-dimensional metadata, it is quite a wonderful paper to read (Easily compreh…