cnn-pytorch

Here are 79 public repositories matching this topic...

ashutosh1919 / explainable-cnn

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

visualization grad-cam cnn pytorch saliency-map saliency-detection cnn-classification guided-backpropagation guided-grad-cam cnn-visualization-technique explainable-ai explainable-ml cnn-visualization cnn-pytorch pytorch-implementation grad-cam-visualization

Updated Aug 29, 2023
Python

hellloxiaotian / LESRCNN

Star

Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)

deep-learning image-processing cnn python27 image-super-resolution low-level-vision cnn-pytorch lightweight-enhanced-network enhancement-and-compression information-refinement

Updated Oct 12, 2022
Python

hellloxiaotian / ADNet

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Attention-guided CNN for image denoising(Neural Networks,2020)

deep-neural-networks deep-learning deep-reinforcement-learning cnn pytorch sparse python2 attention-mechanism image-denoising cnn-pytorch real-noise blind-denoising

Updated Feb 12, 2023
Python

hellloxiaotian / CFSRCNN

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Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2021)

deep-neural-networks deep-learning image-processing cnn pytorch high-resolution python2 python27 super-resolution deep-networks pytorch-cnn low-resolution low-level-vision cascaded-refinement-networks cnn-pytorch

Updated Jan 20, 2023
Python

Coderx7 / SimpleNet

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This repository contains the architectures, Models, logs, etc pertaining to the SimpleNet Paper (Lets keep it simple: Using simple architectures to outperform deeper architectures )

deep-learning pytorch imagenet image-classification convolutional-neural-networks cnn-model fast-net cnn-pytorch simplenet

Updated Apr 30, 2023
Python

Randl / MobileNetV3-pytorch

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Implementation of MobileNetV3 in pytorch

cnn pytorch image-classification cnn-pytorch mobilenetv3

Updated Jun 21, 2019
Python

hellloxiaotian / ACNet

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Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)

deep-neural-networks deep-learning image-processing cnn pytorch python2 deep-network python27 super-resolution pytorch-cnn low-level-vision cnn-pytorch blind-super-resolution

Updated Jan 20, 2023
Python

hellloxiaotian / ECNDNet

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Enhanced CNN for image denoising (CAAI Transactions on Intelligence Technology, 2019)

deep-neural-networks deep-learning cnn residual-learning low-level-vision cnn-pytorch image-denoise dilated-convolution

Updated Jan 20, 2023
Python

hellloxiaotian / DudeNet

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Designing and Training of A Dual CNN for Image Denoising (Knowledge-based Systems, 2021)

deep-learning cnn python2 image-denoising image-preprocessing low-level-vision cnn-pytorch real-noise blind-denoising

Updated Jun 29, 2022
Python

phamdinhkhanh / general_backbone

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backbone image-classification resnet data-augmentation cnn-pytorch

Updated Oct 23, 2021
Python

ehsanasgharzde / edepth

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edepth is an open-source, trainable CNN-based model for depth estimation from single images, videos, and live camera feeds.

open-source machine-learning computer-vision torch pytorch cnn-model depth-estimation depth-map cnn-architecture depth-prediction cnn-pytorch torchvision edepth trianable

Updated Aug 16, 2024
Python

hernanrazo / human-voice-detection

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Binary classification problem that aims to classify human voices from audio recordings. Implemented using PyTorch and Librosa.

deep-learning pytorch audio-classification librosa speech-processing voice-detection cnn-pytorch

Updated Aug 30, 2021
Python

harryjdavies / Python1D_CNNs

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1D convolutional neural networks for activity recognition in python.

machine-learning ai keras activity-recognition pytorch classification cnn-keras 1d-convolution cnn-pytorch

Updated Apr 24, 2020
Python

cuijiancorbin / A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG

Star

In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (CAM) method for visualization. Results show that the model not only has a high accuracy but also learns biologically explainable features, e.g., Alpha spindles and Theta burst, as evidence for the drowsy state.

visualization eeg cnn-pytorch