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@ -15,9 +15,9 @@ These examples, along with our NVIDIA deep learning software stack, are provided
## Computer Vision
| Models | Framework | A100 | AMP | Multi-GPU | Multi-Node | TRT | ONNX | Triton | TF-TRT | NB |
| ------------- | ------------- | ------------- | ------------- | ------------- | ------------- |------------- |------------- |------------- |------------- |------------- |
| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnet50v1.5) |PyTorch | Yes | Yes | Yes | - | - | - | - | - | - |
| [ResNeXt101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnext101-32x4d) |PyTorch | Yes | Yes | Yes | - | - | - | - | - | - |
| [SEResNeXt101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/se-resnext101-32x4d) |PyTorch | Yes | Yes | Yes | - | - | - | - | - | - |
| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnet50v1.5) |PyTorch | Yes | Yes | Yes | - | - | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/resnet50) | - | - |
| [ResNeXt101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnext101-32x4d) |PyTorch | Yes | Yes | Yes | - | - | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/resnext101-32x4d) | - | - |
| [SEResNeXt101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/se-resnext101-32x4d) |PyTorch | Yes | Yes | Yes | - | - | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/se-resnext101-32x4d) | - | - |
| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Segmentation/MaskRCNN) |PyTorch | Yes | Yes | Yes | - | - | - | - | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/PyTorch/Segmentation/MaskRCNN/pytorch/notebooks/pytorch_MaskRCNN_pyt_train_and_inference.ipynb) |
| [SSD](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Detection/SSD) |PyTorch | Yes | Yes | Yes | - | - | - | - | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/PyTorch/Detection/SSD/examples/inference.ipynb) |
| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/resnet50v1.5) |TensorFlow | Yes | Yes | Yes | - | - | - | - | - | - |
@ -28,7 +28,7 @@ These examples, along with our NVIDIA deep learning software stack, are provided
| [U-Net Ind](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Industrial) |TensorFlow | Yes | Yes | Yes | - | Yes | - | - | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Industrial/notebooks) |
| [U-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Medical) | TensorFlow | Yes | Yes | Yes | - | Yes |- | - | Yes | - |
| [U-Net 3D](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_3D_Medical) | TensorFlow | Yes | Yes | Yes | - | Yes |- | - | Yes | - |
| [V-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet) | TensorFlow | Yes | Yes | Yes | - | Yes | Yes | - | Yes | - |
| [V-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet) | TensorFlow | Yes | Yes | Yes | - | Yes | - | - | Yes | - |
| [U-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/UNet_Medical) | TensorFlow2 | Yes | Yes | Yes | - | Yes |- | - | Yes | - |
| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN) |TensorFlow2 | Yes | Yes | Yes | - | - |- | - | - | - |
| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/MxNet/Classification/RN50v1.5) | MXNet | - | Yes | Yes | - | - | - | - | - | - |
@ -62,12 +62,13 @@ These examples, along with our NVIDIA deep learning software stack, are provided
| Models | Framework | A100 | AMP | Multi-GPU | Multi-Node | TRT | ONNX | Triton | TF-TRT | NB |
| ------------- | ------------- | ------------- | ------------- | ------------- | ------------- |------------- |------------- |------------- |------------- |------------- |
| [Jasper](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/Jasper) |PyTorch | Yes | Yes | Yes | - | Yes | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/Jasper/trtis) | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/Jasper/notebooks) |
| [Hidden Markov Model](https://github.com/NVIDIA/DeepLearningExamples/tree/master/Kaldi/SpeechRecognition) | Kaldi | - | - | Yes | - | - | - | Yes | - | - |
| [Hidden Markov Model](https://github.com/NVIDIA/DeepLearningExamples/tree/master/Kaldi/SpeechRecognition) | Kaldi | - | - | Yes | - | - | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/Kaldi/SpeechRecognition) | - | - |
## Text to Speech
| Models | Framework | A100 | AMP | Multi-GPU | Multi-Node | TRT | ONNX | Triton | TF-TRT | NB |
| ------------- | ------------- | ------------- | ------------- | ------------- | ------------- |------------- |------------- |------------- |------------- |------------- |
| [FastPitch](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/FastPitch) | PyTorch | Yes | Yes | Yes | - | - | - | - | - | - |
| [FastSpeech](https://github.com/NVIDIA/DeepLearningExamples/tree/master/CUDA-Optimized/FastSpeech) | PyTorch | - | Yes | Yes | - | Yes | - | - | - | - |
| [Tacotron 2 and WaveGlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2) | PyTorch | Yes | Yes | Yes | - | Yes | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp) | - | - |