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

EfficientNetv2 TensorRT int8

Pytorch EfficientNetV2 EfficientNetV1 with pretrained weights

PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc.

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 model for the bag of such features to detect the anomaly & LSTM to detect the type of Anomaly.

EfficientNetV2 based PaDiM

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 EfficientNetV2 architectures.

An Android App recreating the Simon Says game. Uses MediaPipe to run an LLM on device

Pytorch implementation of efficientnet v2 backbone with detectron2 for object detection (Just for fun)

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

Source codes of team TikTorch (1st place solution) for track 2 and 3 of the SHREC2023 Challenge

DeepLabV3+ Implementation using TensorFlow 2

Implementation of EfficientNetV2 model in TensorFlow 2 Keras.

DeepLabV3 plus implementation using PyTorch

PLANT DISEASE DETECTION USING CNN