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dvgodoy / PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

深度学习 PyTorch pytorch-tutorial Python cnn-pytorch

Jupyter Notebook

1058

408

1 个月前

omerbsezer / Fast-Pytorch

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

pytorch-tutorial PyTorch pytorch-implementation Python 机器学习 colaboratory colab-notebook 机器视觉深度学习 cnn mlp rnn cnn-pytorch transfer-learning

Jupyter Notebook

431

100

6 年前

ashutosh1919 / explainable-cnn

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

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

Python

227

2 年前

hellloxiaotian / LESRCNN

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

image-super-resolution cnn cnn-pytorch 图像处理深度学习 low-level-vision Python

Python

223

3 年前

hellloxiaotian / ADNet

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

image-denoising cnn attention-mechanism sparse 深度学习深度神经网络 deep-reinforcement-learning PyTorch cnn-pytorch Python

Python

121

2 年前

hellloxiaotian / CFSRCNN

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

super-resolution 深度学习 low-level-vision cnn 深度神经网络 deep-networks PyTorch cnn-pytorch 图像处理 pytorch-cnn Python high-resolution

Python

109

2 年前

Coderx7 / SimpleNet

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

cnn-model cnn-pytorch 深度学习 imagenet PyTorch convolutional-neural-networks image-classification

Python

2 年前

Randl / MobileNetV3-pytorch

Implementation of MobileNetV3 in pytorch

PyTorch mobilenetv3 image-classification cnn cnn-pytorch

Python

6 年前

hellloxiaotian / ACNet

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

super-resolution 深度学习 cnn cnn-pytorch low-level-vision 图像处理深度神经网络 PyTorch pytorch-cnn Python

Python

2 年前

hellloxiaotian / ECNDNet

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

cnn-pytorch 深度学习 residual-learning cnn 深度神经网络 low-level-vision

Python

2 年前

hellloxiaotian / DudeNet

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

image-denoising 深度学习 cnn cnn-pytorch Python image-preprocessing low-level-vision

Python

3 年前

phamdinhkhanh / general_backbone

data-augmentation image-classification Backbone.js cnn-pytorch resnet

Python

3 年前

ehsanasgharzde / edepth

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

cnn-model cnn-pytorch 机器视觉 depth-estimation depth-map depth-prediction 机器学习 PyTorch torch torchvision Open Source

Python

8 个月前

hernanrazo / human-voice-detection

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

PyTorch voice-detection speech-processing 深度学习 audio-classification librosa cnn-pytorch

Python

4 年前

Insiyaa / Music-Genre-Classification

Genre Classification using Convolutional Neural Networks

cnn-classification cnn-pytorch cnn-model music-information-retrieval accuracy transfer-learning music 深度学习 music-genre-classification PyTorch 神经网络 tone dataset fastai

Jupyter Notebook

6 年前

harryjdavies / Python1D_CNNs

1D convolutional neural networks for activity recognition in python.

cnn-keras cnn-pytorch PyTorch Keras classification 机器学习人工智能 activity-recognition

Python

5 年前

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

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.

EEG cnn-pytorch visualization

Python

3 年前