innat / HybridModel-GradCAM
A Keras implementation of hybrid efficientnet swin transformer model.
☆33Updated last year
Related projects ⓘ
Alternatives and complementary repositories for HybridModel-GradCAM
- Tensorflow 2.0 Implementation of GCViT: Global Context Vision Transformer☆27Updated 10 months ago
- Keras (TensorFlow v2) reimplementation of Swin Transformer V1 and V2 models☆20Updated 3 months ago
- Implementation of Deep Orthogonal Fusion of Local and Global Features in TensorFlow 2☆25Updated last year
- PyTorch Lightning based training of Semantic Segmentation models☆38Updated last year
- PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), Res…☆35Updated last year
- Implementation of Swin Transformers in TensorFlow along with converted pre-trained models, code for off-the-shelf classification and fine…☆56Updated 2 years ago
- Implements RNNPool and SoftPool for CNNs.☆14Updated 3 years ago
- Implementation of Multi-Attention, consist of CBAM and DeepMoji☆8Updated 3 years ago
- This repository demonstrates how to use TensorFlow based SegFormer model in 🤗 transformers package.☆30Updated 2 years ago
- Keras Implementation of Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)☆95Updated 4 years ago
- This example demonstrates the use of U-net model for retinal blood vessel segmentation on tensorflow 2.x☆18Updated 3 years ago
- Matthews Correlation Coefficient Loss implementation for image segmentation.☆12Updated 3 years ago
- EfficientNets in 3D variant for keras and TF.keras☆53Updated 2 years ago
- Keras Implementation of Unet with EfficientNet as encoder☆47Updated 2 years ago
- Accompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston…☆27Updated 2 years ago
- The missing distributed weighted random sampler for PyTorch☆24Updated last year
- Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference notebooks.☆41Updated 2 years ago
- ResNet-RS models rewritten in Tensorflow / Keras functional API.☆27Updated last year
- ☆23Updated 3 years ago
- Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (Efficien…☆45Updated 4 years ago
- ModelSoups for Tensorflow2 and Torch☆47Updated 2 years ago
- A super-fast Python implementation of seam carving algorithm for intelligent image resizing.☆9Updated 2 years ago
- Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)☆65Updated 3 years ago
- Applied Self Supervised Learning techniques such as Jigsaw as pretext task, SRGAN and SimCLR for fine-grained classification☆35Updated last year
- This is the repository for the corresponding 2022 MICCAI-MILLanD workshop paper "BoxShrink: From Bounding Boxes to Segmentation Masks"☆22Updated last year
- Keras Implementation Residual Attention Network☆40Updated 5 years ago
- Implementing polyp segmentation using the U-Net and CVC-612 dataset.☆66Updated 3 years ago
- The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET☆116Updated 6 months ago
- Loss function Package Tensorflow Keras PyTOrch☆51Updated last year
- Includes PyTorch -> Keras model porting code for ConvNeXt family of models with fine-tuning and inference notebooks.☆100Updated 2 years ago