#计算机科学#Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
#计算机科学#Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
#计算机科学#Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)
#计算机科学#Attention-guided CNN for image denoising(Neural Networks,2020)
#计算机科学#Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2021)
#计算机科学#This repository contains the architectures, Models, logs, etc pertaining to the SimpleNet Paper (Lets keep it simple: Using simple architectures to outperform deeper architectures )
Implementation of MobileNetV3 in pytorch
#计算机科学#Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)
#计算机科学#Enhanced CNN for image denoising (CAAI Transactions on Intelligence Technology, 2019)
#计算机科学#Designing and Training of A Dual CNN for Image Denoising (Knowledge-based Systems, 2021)
#计算机科学#edepth is an open-source, trainable CNN-based model for depth estimation from single images, videos, and live camera feeds.
#计算机科学#Binary classification problem that aims to classify human voices from audio recordings. Implemented using PyTorch and Librosa.
#计算机科学#Genre Classification using Convolutional Neural Networks
#计算机科学#1D convolutional neural networks for activity recognition in 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 ...
#计算机科学#Code for "Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features" arXiv:2110.08862, 2021.
#计算机科学#A suite of Python scripts allowing the end-user to use Deep Learning to detect objects in georeferenced raster images.
online early forest fire detection system based on drone platform.