Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
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Mar 6, 2025 - Jupyter Notebook
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cnn-pytorch
Here are 195 public repositories matching this topic...
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
python machine-learning computer-vision deep-learning cnn pytorch rnn mlp transfer-learning pytorch-tutorial rnn-pytorch colaboratory colab-notebook cnn-pytorch pytorch-implementation colab-tutorial
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May 7, 2019 - Jupyter Notebook
📦 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
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Aug 29, 2023 - Python
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
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Oct 12, 2022 - Python
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
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Feb 12, 2023 - Python
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
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Jan 20, 2023 - Python
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
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Apr 30, 2023 - Python
Implementation of MobileNetV3 in pytorch
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Jun 21, 2019 - Python
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
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Jan 20, 2023 - Python
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
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Jan 20, 2023 - Python
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
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Jun 29, 2022 - Python
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Oct 23, 2021 - Python
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
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Aug 16, 2024 - Python
Binary classification problem that aims to classify human voices from audio recordings. Implemented using PyTorch and Librosa.
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Aug 30, 2021 - Python
Genre Classification using Convolutional Neural Networks
music deep-learning neural-network pytorch dataset music-information-retrieval accuracy transfer-learning tone music-genre-classification fastai cnn-model gtzan-dataset cnn-for-visual-recognition cnn-classification genre-classification music-classification cnn-pytorch genre-identification spectograms
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Nov 16, 2018 - Jupyter Notebook
1D convolutional neural networks for activity recognition in python.
machine-learning ai keras activity-recognition pytorch classification cnn-keras 1d-convolution cnn-pytorch
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Apr 24, 2020 - Python
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.
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Mar 9, 2022 - Python
Code for "Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features" arXiv:2110.08862, 2021.
python deep-learning pytorch music-information-retrieval edm mel-spectrogram genres-classification cnn-pytorch tempogram beatport
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Oct 29, 2021 - Python
A suite of Python scripts allowing the end-user to use Deep Learning to detect objects in georeferenced raster images.
deep-neural-networks deep-learning raster cnn object-detection cnn-pytorch detectron2 stdl task-idet
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May 28, 2025 - Python
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