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Hi, sorry to bother you. I was confused about the unseen label in the test set used for synthetic Data generation in step 3 and consequently leveraged the synthetic Data to train the extractor in step…
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I noticed that you are developing a synthetic data generation pipeline to create synthetic training data. So I wonder whether we can use that pipeline to create my dataset. If its answer is yes, when …
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### Mid-March:
#### Multilingual initial results @leejejang
- [x] Train and test TESTR-v3 on four language groups
#### Historical map clustering and Synthetic map generation
- [x] Generate s…
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Hello @corcra ! I have run 'eICU_synthetic_dataset_generation' on my own data and it's generating pretty good results, while it is getting trained. But I am confused about generating new data after tr…
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Following the data exploration phase, the Synthetic data generation platform developed at the ONS Data Science Campus will be applied to the NEED dataset.
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**Is your feature request related to a problem? Please describe.**
To train a better, little-bias model, the inbalance of data must be dealt not only inducing little noise but also keeping enough ori…
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Very nice work!
I have a question about 2D&3D joint training:
I think it's very intuitive that only training with the synthetic 3D dataset will lead to degeneration on the quality of generated ima…
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For future features planning it'd be worth to explore possibilities in ML.NET enabling GAN (Generative Adversarial Networks) implementation in ML.NET + TensorFlow.
Most popular use cases are relate…
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Hello there,
I have been working on a custom DOPE detector for a drill, but I seem to be stuck with bad inference results not quite sure why. I have generated the synthetic data using Issac Sim, m…
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Ioannis and Joshi had a discussion with BEIS regarding the dataset based on the National Energy Efficiency Data-Framework (NEED).
A sample of the aforementioned dataset was provided by the NEED te…