Google Brain AutoML
翻译 - Google Brain AutoML
PyTorch implementation of EfficientNetV2 family
Multi-backbone, Prune, Quantization, KD
EfficientNetV2 implementation using PyTorch
self defined efficientnetV2 according to official version. Including converted ImageNet/21K/21k-ft1k weights.
EfficientNetV2 pytorch (pytorch lightning) implementation with pretrained model
#计算机科学#Pytorch EfficientNetV2 EfficientNetV1 with pretrained weights
#计算机科学#PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planne...
#计算机科学#This GitHub repository contains instructions for downloading and utilizing the AI4Food-NutritionDB food image database, as well as different food recognition systems based on Xception and EfficientNet...
#人脸识别#Real Time Detection of Anomalous Activity From Videos (mainly crime actvity). Images of the video is trained using AutoEncoder to get the imtermediate feature representation of image & applied svm mo...
#安卓#An Android App recreating the Simon Says game. Uses MediaPipe to run an LLM on device
EfficientNetV2 based PaDiM
#计算机科学#花分类，使用VGGNet、GoogLeNet、ResNet、DenseNet、EfficientNet和数据集中80%的数据训练识别模型，并对剩下20%的数据集进行测试
#计算机科学#Pytorch implementation of efficientnet v2 backbone with detectron2 for object detection (Just for fun)
EfficientNetV2: Smaller Models and Faster Training. PyTorch Implementation of EfficientNetV2 Family
Source codes of team TikTorch (1st place solution) for track 2 and 3 of the SHREC2023 Challenge
Implementation of EfficientNetV2 model in TensorFlow 2 Keras.
This is a brief PyTorch implementation of EfficientNetV2, providing with experiments on ImageNet and CIFAR-10/100.
DeepLabV3+ Implementation using TensorFlow 2