Alternatives and similar repositories for EfficientNet-Keras-GradCam-Visualization

Users that are interested in EfficientNet-Keras-GradCam-Visualization are comparing it to the libraries listed below

• zhoudaxia233 / EfficientUnet
  Keras Implementation of Unet with EfficientNet as encoder
  ☆48Updated 3 years ago
• baudcode / tf-semantic-segmentation
  Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc
  ☆69Updated 2 years ago
• Tony607 / efficientnet_keras_transfer_learning
  Transfer Learning with EfficientNet in Keras
  ☆88Updated 2 years ago
• sidml / EfficientNet-GradCam-Visualization
  EfficientNet-GradCam Visualization
  ☆80Updated 6 years ago
• davidtvs / Keras-LinkNet
  Keras implementation of LinkNet
  ☆27Updated 6 years ago
• neuropoly / deep-active-learning
  Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)
  ☆38Updated 6 years ago
• CyberZHG / keras-drop-block
  DropBlock implemented in Keras
  ☆26Updated 3 years ago
• Tony607 / mmdetection_object_detection_demo
  How to train an object detection model with mmdetection
  ☆73Updated 3 years ago
• pmcheng / rsna-pneumonia
  3rd place solution for RSNA pneumonia detection challenge
  ☆84Updated 6 years ago
• tatigabru / kaggle-rsna
  Deep Learning for Automatic Pneumonia Detection, RSNA challenge
  ☆110Updated 4 months ago
• YeongHyeon / ResNeSt-TF2
  TensorFlow implementation of "ResNeSt: Split-Attention Networks"
  ☆67Updated 4 years ago
• adriaromero / Skin_Lesion_Detection_Deep_Learning
  Skin lesion detection from dermoscopic images using Convolutional Neural Networks
  ☆56Updated 6 years ago
• kayoyin / GreyClassifier
  CS_IOC5008 Visual Recognition using Deep Learning: Image Classification for grey natural scene images with <4000 annotated data
  ☆40Updated 5 years ago
• ypeleg / nfnets-keras
  Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping
  ☆70Updated 4 years ago
• hwei-hw / FocalLoss_Keras
  Focal Loss implementation by Keras with TensorFlow backend
  ☆42Updated 7 years ago
• nearthlab / image-segmentation
  Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
  ☆64Updated 5 years ago
• alessonscap / rsna-challenge-2018
  10th place solution for the RSNA Pneumonia Detection Challenge
  ☆14Updated 6 years ago
• buiduchanh / Learning-Deep-Features-for-One-Class-Classification
  #Deep One class #Anomaly Detection
  ☆49Updated 6 years ago
• 4uiiurz1 / keras-auto-augment
  Keras implementation of AutoAugment.
  ☆30Updated 6 years ago
• fizyr / keras-retinanet-test-data
  Test data for keras-retinanet.
  ☆25Updated 4 years ago
• titu1994 / keras-global-context-networks
  Keras implementation of Global Context Attention blocks
  ☆46Updated 6 years ago
• jkjung-avt / keras-cats-dogs-tutorial
  A practical example of image classifier with Keras 2.x and TensorFlow backend, using the Kaggle Cats vs. Dogs dataset. By taking advantag…
  ☆81Updated 6 years ago
• qubvel / tta_wrapper
  Test Time image Augmentation (TTA) wrapper for Keras model.
  ☆112Updated 3 years ago
• CellProfiling / HPA-competition-solutions
  Team original solutions for the Human Protein Atlas image classification competition
  ☆61Updated 2 years ago
• tsterbak / keras_tta
  Simple test time augmentation (TTA) for keras python library.
  ☆22Updated 7 years ago
• Tony607 / mmdetection_instance_segmentation_demo
  How to train an instance segmentation model with mmdetection
  ☆29Updated 5 years ago
• pdima / kaggle_2018_data_science_bowl_solution
  4th place solution for 2018 Data Science Bowl kaggle competition
  ☆46Updated 7 years ago
• anindox8 / Ensemble-of-Multi-Scale-CNN-for-Dermatoscopy-Classification
  Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (Efficien…
  ☆47Updated 4 years ago
• Tony607 / Keras_Bag_of_Tricks
  Bag of Tricks for Image Classification with Convolutional Neural Networks in Keras
  ☆63Updated 6 years ago
• shivsondhi / Triplet-Loss
  Use Triplet Loss to finetune and train a CNN pre-trained on the Imagenet dataset
  ☆39Updated 7 years ago