## ConvNets PyTorch codebase

PyTorch codebase for training and using ConvNet models. Refer to the following guides for the use-cases of this codebase, setup instructions and performance numbers:

- [EfficientNet for PyTorch](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/dle/resources/efficientnet_pyt)
- [ResNet50 v1.5 for PyTorch](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/dle/resources/resnet_pyt)
- [ResNet50 v1.5 Triton deployment for PyTorch](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/dle/resources/resnet_pyt_triton)
- [ResNeXt101-32x4d for PyTorch](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/dle/resources/resnext_pyt)
- [ResNeXt101-32x4d Triton deployment for PyTorch](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/dle/resources/resnext_pyt_triton)
- [SE-ResNeXt101-32x4d for PyTorch](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/dle/resources/seresnext_pyt)
- [SE-ResNeXt101-32x4d Triton deployment for PyTorch](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/dle/resources/seresnext_pyt_triton)

convnets-pyt

PyTorch codebase for training and using ConvNet models

ConvNets PyTorch codebase

Description

Publisher

Use Case

Framework

Latest Version

Modified

Compressed Size

ConvNets PyTorch codebase