Skip to content

Commit 048370a

Browse files
nv-kkudrynskinv-kkudrynski
committed
[Resnet/PaddlePaddle] Added info to the main readme
1 parent 66a4204 commit 048370a

File tree

1 file changed

+27
-26
lines changed

1 file changed

+27
-26
lines changed

‎README.md

+27-26
Original file line numberDiff line numberDiff line change
@@ -13,32 +13,33 @@ These examples, along with our NVIDIA deep learning software stack, are provided
1313

1414

1515
## Computer Vision
16-
| Models | Framework | A100 | AMP | Multi-GPU | Multi-Node | TRT | ONNX | Triton | DLC | NB |
17-
| ------------- | ------------- | ------------- | ------------- | ------------- | ------------- |------------- |------------- |------------- |------------- |------------- |
18-
| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnet50v1.5) |PyTorch | Yes | Yes | Yes | - | Yes | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/resnet50) | Yes | - |
19-
| [ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnext101-32x4d) |PyTorch | Yes | Yes | Yes | - | Yes | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/resnext101-32x4d) | Yes | - |
20-
| [SE-ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/se-resnext101-32x4d) |PyTorch | Yes | Yes | Yes | - | Yes | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/se-resnext101-32x4d) | Yes | - |
21-
| [EfficientNet-B0](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) |PyTorch | Yes | Yes | Yes | - | - | - | - | Yes | - |
22-
| [EfficientNet-B4](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) |PyTorch | Yes | Yes | Yes | - | - | - | - | Yes | - |
23-
| [EfficientNet-WideSE-B0](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) |PyTorch | Yes | Yes | Yes | - | - | - | - | Yes | - |
24-
| [EfficientNet-WideSE-B4](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) |PyTorch | Yes | Yes | Yes | - | - | - | - | Yes | - |
25-
| [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) |
26-
| [nnUNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Segmentation/nnUNet) |PyTorch | Yes | Yes | Yes | - | - | - | - | Yes | - |
27-
| [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) |
28-
| [GPUNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/GPUNet) |PyTorch | Yes | Yes | Yes | - | Yes | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/GPUNet/triton/) | Yes | - |
29-
| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/resnet50v1.5) |TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | - |
30-
| [ResNeXt101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/resnext101-32x4d) |TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | - |
31-
| [SE-ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/se-resnext101-32x4d) |TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | - |
32-
| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN) |TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | - |
33-
| [SSD](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Detection/SSD) | TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/TensorFlow/Detection/SSD/models/research/object_detection/object_detection_tutorial.ipynb) |
34-
| [U-Net Ind](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Industrial) |TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Industrial/notebooks) |
35-
| [U-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Medical) | TensorFlow | Yes | Yes | Yes | - | - |- | - | Yes | - |
36-
| [U-Net 3D](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_3D_Medical) | TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | - |
37-
| [V-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet) | TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | - |
38-
| [U-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/UNet_Medical) | TensorFlow2 | Yes | Yes | Yes | - | - |- | - | Yes | - |
39-
| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN) |TensorFlow2 | Yes | Yes | Yes | - | - |- | - | Yes | - |
40-
| [EfficientNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Classification/ConvNets/efficientnet) |TensorFlow2 | Yes | Yes | Yes | Yes | - |- | - | Yes | - |
41-
| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/MxNet/Classification/RN50v1.5) | MXNet | - | Yes | Yes | - | - | - | - | - | - |
16+
| Models | Framework | A100 | AMP | Multi-GPU | Multi-Node | TRT | ONNX | Triton | DLC | NB |
17+
|-------------------------------------------------------------------------------------------------------------------------------------|--------------|------| ------------- | ------------- | ------------- |-----|------------- |------------- |------------- |------------- |
18+
| [EfficientNet-B0](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) | PyTorch | Yes | Yes | Yes | - | - | - | - | Yes | - |
19+
| [EfficientNet-B4](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) | PyTorch | Yes | Yes | Yes | - | - | - | - | Yes | - |
20+
| [EfficientNet-WideSE-B0](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) | PyTorch | Yes | Yes | Yes | - | - | - | - | Yes | - |
21+
| [EfficientNet-WideSE-B4](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) | PyTorch | Yes | Yes | Yes | - | - | - | - | Yes | - |
22+
| [EfficientNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Classification/ConvNets/efficientnet) | TensorFlow2 | Yes | Yes | Yes | Yes | - |- | - | Yes | - |
23+
| [GPUNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/GPUNet) | PyTorch | Yes | Yes | Yes | - | Yes | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/GPUNet/triton/) | Yes | - |
24+
| [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) |
25+
| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN) | TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | - |
26+
| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN) | TensorFlow2 | Yes | Yes | Yes | - | - |- | - | Yes | - |
27+
| [nnUNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Segmentation/nnUNet) | PyTorch | Yes | Yes | Yes | - | - | - | - | Yes | - |
28+
| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/MxNet/Classification/RN50v1.5) | MXNet | - | Yes | Yes | - | - | - | - | - | - |
29+
| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PaddlePaddle/Classification/RN50v1.5) | PaddlePaddle | Yes | Yes | Yes | - | Yes | - | - | - | - |
30+
| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnet50v1.5) | PyTorch | Yes | Yes | Yes | - | Yes | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/resnet50) | Yes | - |
31+
| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/resnet50v1.5) | TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | - |
32+
| [ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnext101-32x4d) | PyTorch | Yes | Yes | Yes | - | Yes | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/resnext101-32x4d) | Yes | - |
33+
| [ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/resnext101-32x4d) | TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | - |
34+
| [SE-ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/se-resnext101-32x4d) | PyTorch | Yes | Yes | Yes | - | Yes | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/se-resnext101-32x4d) | Yes | - |
35+
| [SE-ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/se-resnext101-32x4d) | TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | - |
36+
| [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) |
37+
| [SSD](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Detection/SSD) | TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/TensorFlow/Detection/SSD/models/research/object_detection/object_detection_tutorial.ipynb) |
38+
| [U-Net Ind](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Industrial) | TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Industrial/notebooks) |
39+
| [U-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Medical) | TensorFlow | Yes | Yes | Yes | - | - |- | - | Yes | - |
40+
| [U-Net 3D](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_3D_Medical) | TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | - |
41+
| [U-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/UNet_Medical) | TensorFlow2 | Yes | Yes | Yes | - | - |- | - | Yes | - |
42+
| [V-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet) | TensorFlow | Yes | Yes | Yes | - | - | - | - | Yes | - |
4243

4344
## Natural Language Processing
4445
| Models | Framework | A100 | AMP | Multi-GPU | Multi-Node | TRT | ONNX | Triton | DLC | NB |

0 commit comments

Comments
 (0)