EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations. - GitHub - deepglint/EasyQuant: EasyQuant(EQ) is an efficient and simple post-training quantization method via e
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more - haotian-leon/pytorch-image-models
More model archs, incl a flexible ByobNet backbone ('Bring-your-own-blocks') GPU-Efficient-Networks (https://github.com/idstcv/GPU-Efficient-Networks), impl in byobnet.py RepVGG (https://github.com/DingXiaoH/RepVGG), impl in byobnet.py classic VGG (from torchvision, impl in vgg.py)...
More model archs, incl a flexible ByobNet backbone ('Bring-your-own-blocks') GPU-Efficient-Networks (https://github.com/idstcv/GPU-Efficient-Networks), impl in byobnet.py RepVGG (https://github.com/DingXiaoH/RepVGG), impl in byobnet.py classic VGG (from torchvision, impl in vgg.py)...
More model archs, incl a flexible ByobNet backbone ('Bring-your-own-blocks') GPU-Efficient-Networks (https://github.com/idstcv/GPU-Efficient-Networks), impl in byobnet.py RepVGG (https://github.com/DingXiaoH/RepVGG), impl in byobnet.py classic VGG (from torchvision, impl in vgg.py)...
More model archs, incl a flexible ByobNet backbone ('Bring-your-own-blocks') GPU-Efficient-Networks (https://github.com/idstcv/GPU-Efficient-Networks), impl in byobnet.py RepVGG (https://github.com/DingXiaoH/RepVGG), impl in byobnet.py classic VGG (from torchvision, impl in vgg.py)...
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more - wangxingjun778/pytorch-image-models
More model archs, incl a flexible ByobNet backbone ('Bring-your-own-blocks') GPU-Efficient-Networks (https://github.com/idstcv/GPU-Efficient-Networks), impl in byobnet.py RepVGG (https://github.com/DingXiaoH/RepVGG), impl in byobnet.py classic VGG (from torchvision, impl in vgg.py)...
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more - xyt2008/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more - silent-chen/pytorch-image-models