Projects in Awesome Lists tagged with efficientnetv2
A curated list of projects in awesome lists tagged with efficientnetv2 .
https://github.com/google/automl
Google Brain AutoML
automl efficientdet efficientnet efficientnetv2 object-detection
Last synced: 12 May 2025
https://github.com/d-li14/efficientnetv2.pytorch
PyTorch implementation of EfficientNetV2 family
efficientnet efficientnetv2 icml2021 imagenet pytorch-implementation
Last synced: 05 Apr 2025
https://github.com/jahongir7174/efficientnetv2
EfficientNetV2 implementation using PyTorch
efficientnetv2 imagenet pytorch training
Last synced: 08 May 2025
https://github.com/leondgarse/keras_efficientnet_v2
self defined efficientnetV2 according to official version. Including converted ImageNet/21K/21k-ft1k weights.
efficientnetv2 keras progressive-train tensorflow tensorflow2 tf tf2
Last synced: 11 Oct 2025
https://github.com/DavidLandup0/deepvision
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.
cnn-classification computer-vision deep-learning efficientnetv2 evaluation image-classification keras nerf neural-radiance-fields pretrained-models pytorch pytorch-lightning resnet segformer semantic-segmentation tensorflow vision-transformer visualization
Last synced: 20 Apr 2025
https://github.com/davidlandup0/deepvision
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.
cnn-classification computer-vision deep-learning efficientnetv2 evaluation image-classification keras nerf neural-radiance-fields pretrained-models pytorch pytorch-lightning resnet segformer semantic-segmentation tensorflow vision-transformer visualization
Last synced: 14 Apr 2025
https://github.com/darrylbayliss/simon-says-android
An Android App recreating the Simon Says game. Uses MediaPipe to run an LLM on device
android android-clean-architecture clean-architecture efficientnetv2 gemma-2b gemma-2b-it generative-ai jetpack-compose jetpack-navigation-compose kotlin kotlin-concurency kotlin-coroutines llm llm-inference mediapipe mediapipe-classifier slm small-language-model
Last synced: 11 Apr 2025
https://github.com/jahongir7174/deeplab-tf
DeepLabV3+ Implementation using TensorFlow 2
deeplab-v3-plus efficientnetv2 tensorflow2
Last synced: 08 May 2025
https://github.com/jahongir7174/deeplab-pt
DeepLabV3 plus implementation using PyTorch
deeplab-v3-plus efficientnetv2 pytorch training
Last synced: 26 Apr 2026
https://github.com/mjahmadee/automated_diagnosis_of_pneumonia_from_classification_of-chest_xray_images_using_efficientnet
Automated Diagnosis of Pneumonia from Classification of Chest X-Ray Images using EfficientNet
efficientnet efficientnetv2 image-classification pneumonia pneumonia-classification pneumonia-detection pneumonia-detector pneumoniac-xray
Last synced: 28 Feb 2025
https://github.com/omidghadami95/efficientnetv2b0---plantvillage
Plant disease detection on PlantVillage dataset using EfficientNetV2-B0
confusion-matrix disease-detection efficientnet efficientnetv2 efficientnetv2-b0 efficientnetv2b0 f1-score google-colab googlecolab keras plant-disease-detection plantvillage plantvillage-dataset python tensorflow tensorflow2
Last synced: 08 Sep 2025
https://github.com/javierkaiser9/rgbd-dual_input_machine_learning_model
This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO
efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow
Last synced: 31 Dec 2025
https://github.com/jersongb22/computervision
Links to my repositories with a wide variety of Computer Vision models using CNNs, Transfer Learning, and Vision Transformer with TensorFlow, PyTorch, Hugging Face and Ultralytics.
cnn computer-vision convnextv2 efficientnetv2 hugging-face image-captioning image-classification image-segmentation lenet-5 object-detection opencv plotly python pytorch scikit-learn tensorflow ultralytics video-classification vision-transformer yolo11
Last synced: 12 Apr 2026
https://github.com/javierkaiser9/rgb-d_dual_input_machine_learning_model
This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO
efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow
Last synced: 11 Apr 2026
https://github.com/omidghadami95/efficientnetv2_quantization_ck
EfficientNetV2 (Efficientnetv2-b2) and quantization int8 and fp32 (QAT and PTQ) on CK+ dataset . fine-tuning, augmentation, solving imbalanced dataset, etc.
ckplus efficientnet efficientnetv2 efficientnetv2-b2 emotion-recognition facial-emotion-recognition googlecolab imbalanced-dataset keras post-training-quantization ptq python qat quantization quantization-aware-training real-time-emotion-classification real-time-emotion-detection scale-down tensorflow
Last synced: 22 Feb 2025
https://github.com/omidghadami95/efficientnetv2_catvsdog
Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.
binary binary-classification catvsdog catvsdog-classifier deep-learning efficientnet efficientnetv2 efficientnetv2-b0 explainable-ai explainable-ml fairness-ai fairness-ml gridsearch imbalanced-data imbalanced-dataset keras shap tensorflow2
Last synced: 17 Apr 2026
https://github.com/shihjen/cnn_ocular_disorders_oct
A deep learning project focuses on classifying ocular disorders using Optical Coherence Tomography (OCT) images. By leveraging the EfficientNetV2 architecture, the project develops models that effectively identify various ocular conditions, achieving accuracies exceeding 90%.
cnn efficientnetv2 multiclass-image-classification tensorflow-keras transfer-learning
Last synced: 11 Jun 2025
https://github.com/lefteris-souflas/ai-fashion
"DressMeUp" project utilizes fashion images and color combinations to achieve image classification for clothing combinations. Algorithms include SGD (SVM), Passive Aggressive Classifier, ResNet50 CNN, and EfficientNetV2-S CNN with K-Means for color analysis. Achieved accuracy exceeds 90%. Built with Python, Scikit-Learn, TensorFlow, and Streamlit.
business-idea cnn-classification efficientnetv2 image-classification k-means-clustering machine-learning outfit-matching outfit-planner passive-aggressive-classifier python3 resnet-50 scikit-learn sgd-classifier sqlite3 streamlit tensorflow2
Last synced: 07 Oct 2025
https://github.com/omraj0/food-vision
A deep learning model using CNN to classify food images into various recipe categories with high accuracy.
efficientnetv2 google-colab keras python resnet-50 tensorflow
Last synced: 18 Apr 2026
