DeepLearningExamples
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NVIDIA
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Related to **Model/Framework(s)** *(e.g. GNMT/PyTorch or FasterTransformer/All)* PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/utils/model_zoo.py **Describe the bug** model_zoo.py at the line 10 from torch.hub import _download_url_to_file must change to from torch.hub import load_state_dict_from_url as _download_url_to_file because...
Related to **Model/Framework(s)** *(e.g. GNMT/PyTorch or FasterTransformer/All)* BERT/PyTorch In Readme.md of https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/LanguageModeling/BERT it is mentioned that on running create_datasets_from_start.sh, it will generate pretraining dataset for BERT. However whenever I tried...
When running a benchmark on [flowers dataset](https://www.tensorflow.org/tutorials/load_data/images#download_the_flowers_dataset) which only has 5 classes, I got a size mismatch error regardless of `--num-classes` I provided. Apparently, `classes` argument was not forwarded to...
what is the sample rate in which the model is trained? After denoising will my audio file down-sample?
### What happened？ There are 1 security vulnerabilities found in gitpython 3.1.29 - [CVE-2023-40267](https://www.oscs1024.com/hd/CVE-2023-40267) ### What did I do？ Upgrade gitpython from 3.1.29 to 3.1.35 for vulnerability fix ### What...
Just found some typos in the README (probably copy-and-paste mistakes). Hope this helps!
 Hello everyone, I hope this message finds you well. I'm currently working on training a Tacotron 2 model for the Telugu language, and I've encountered some challenges with alignment...
When running the BraTS 2021 notebook (located at PyTorch/Segmentation/nnUNet/notebooks/BraTS21.ipynb) training section, the model is not properly training even though it is going through the steps, as seen in the image...
Thank you always for sharing your thoughtful code. As we can see in FastPitch code, you added the pitch embedding to encoder output before passing the energy predictor. https://github.com/NVIDIA/DeepLearningExamples/blob/da7e1a701bd44885c5537afa7974be391f82401e/PyTorch/SpeechSynthesis/FastPitch/fastpitch/model.py#L300 Why...
