#
convolutional-neural-networks
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This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels, ResNet-like and DenseNet-like models, training code based on accelerate/PyTorch, as well as scripts for experiments with CIFAR-10 and Tiny ImageNet.
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May 30, 2024
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Pre-trained models and utilities for deep learning on medical images in Python
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May 30, 2024
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Early prediction of liver cancer development using longitudinal MRI
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May 30, 2024
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Project at Harvard (HMS and MGH) for Deep Learning-powered WMH quantification. Please refer to the official website for more recent information.
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May 30, 2024
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Pytorch implementation of FTNet for Semantic Segmentation on SODA, SCUT Seg, and MFN Datasets
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May 30, 2024
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PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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May 29, 2024
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Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
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May 28, 2024
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Official code repository of Laplacian Pyramid Pansharpening Network
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May 28, 2024
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Official Implementation of ARACHNET: INTERPRETABLE SUB-ARACHNOID SPACE SEGMENTATION USING AN ADDITIVE CONVOLUTIONAL NEURAL NETWORK
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May 27, 2024
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Road Segmentation Using Aerial Images
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May 27, 2024
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Finding Tiny Faces in PyTorch
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May 27, 2024
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"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.
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May 26, 2024
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Testing to see how sound can also be classified by CNN models
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May 26, 2024
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Visualization of 1D CNNs filters space for Time Series Analysis
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May 25, 2024
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Hand-Crafted Convolutional Filters 4 Time Series
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May 25, 2024
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Simple implementation of the paper "ImageNet Classification with Deep Convolutional Neural Networks" using pytorch.
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May 25, 2024
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Arbitrary-timestep Transformer for Enhanced Multi-frame Interpolation and Synthesis
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May 25, 2024
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Python framework to extract multimodal features for multimodal recommendation in a highly-customizable way.
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May 25, 2024
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MIST: A simple, scalable, and end-to-end framework for 3D medical imaging segmentation.
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May 24, 2024
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A machine learning model for the early detection of glaucoma from color fundus photographs (CFPs), aiming to mitigate one of the leading causes of irreversible blindness
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May 24, 2024
Python
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