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Thanks for the wonderful repo. It's a pleasure to work with it and to read the code.
When training MaskDino on a custom dataset, the bounding box predictions are not very good. Interestingly:
- D…
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**Regarding synthetic datasets:** from the implementation and as it explained in [the issue](https://github.com/HazyResearch/safari/issues/35), _train loss is evaluated on all tokens and test is only …
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Hi,
I would like to get a dynamic forecast (i.e next step forecasts are based on forecasted endogenous values) using a VAR model.
I dont see any way to do this using VAR class. I see that there is a…
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As part of our ongoing efforts to improve the performance and accuracy of our predictive models, we need to evaluate a variety of machine learning and deep learning algorithms. Here's a list of models…
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The following list are basemodels used by M-Competition and I think It is a good idea to normalize how they are implemented to be able to automate the generation of this model.
# Base Models
## …
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I have exported serving model, as back end of restful server.
I have tested performance of Transformer and GNMT, with transoformer_big and beam_size 10.
Tensor2Tensor version is 1.4.4. Source tokens…
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Tracker for the unit test. The unit tests should cover pl.Series, pl.Expr for eager and lazy (if implemented).
- [x] absolute_energy
- [x] absolute_maximum
- [x] absolute_sum_of_changes
- [x] ap…
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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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Running through your pre-trained models, I found that generated audio does not exactly match the input in duration length. For example,
```
wav, sr = load_wav(os.path.join(a.input_wavs_dir, filname…
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My predict.py:
```
from utils.config_manager import ConfigManager
from utils.audio import Audio
from scipy.io.wavfile import write
config_loader = ConfigManager('ljspeech_autoregressive_trans…