Music genre classification project as part of the Numerical Analysis for Machine Learning course at Politecnico di Milano, A.Y 2022-2023.
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Updated
Apr 26, 2024 - Python
Music genre classification project as part of the Numerical Analysis for Machine Learning course at Politecnico di Milano, A.Y 2022-2023.
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)
I am aiming to write different Semantic Segmentation models from scratch with different pretrained backbones.
PyTorch Implementation of ResUnet++
Implementation of different attention mechanisms in TensorFlow and PyTorch.
Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)
A module for creating 3D ResNets with different depths and additional features.
Classification models trained on ImageNet. Keras.
A collection of deep learning models (PyTorch implemtation)
An experimental implementation to verify variation idea to Squeeze-and-Excitation Networks(SENet)
Implementation of various channel-wise attention modules
Gluon implementation of channel-attention modules: SE, ECA, GCT
Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
PyTorch implementation of LS-CNN: Characterizing Local Patches at Multiple Scales for Face Recognition
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen, and Gang Sun) module, written in Pytorch, train, and eval codes have been released.
Implementation of Squeeze and Excitation Networks (SENet) with MNIST dataset
PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans
Cardiac_segmentation based on 3D Convolution Neural Network with SE blocks
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