cnn-pytorch

omerbsezer/Fast-Pytorch

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

ashutosh1919/explainable-cnn

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

hellloxiaotian/LESRCNN

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

hellloxiaotian/ADNet

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

hellloxiaotian/CFSRCNN

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

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 )

Randl/MobileNetV3-pytorch

Implementation of MobileNetV3 in pytorch

hellloxiaotian/ACNet

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

hellloxiaotian/ECNDNet

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

hellloxiaotian/DudeNet

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

phamdinhkhanh/general_backbone

hernanrazo/human-voice-detection

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

Insiyaa/Music-Genre-Classification

Genre Classification using Convolutional Neural Networks

harryjdavies/Python1D_CNNs

1D convolutional neural networks for activity recognition in python.

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.

ddman1101/EDM-subgenre-classifier

Code for "Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features" arXiv:2110.08862, 2021.

lee-shun/forest_fire_detection_system

online early forest fire detection system based on drone platform.

Joe-Sun-7/1dCNN-with-Attention-for-ECG-classification

心律失常检测/ECG信号分类

swiss-territorial-data-lab/object-detector

A suite of Python scripts allowing the end-user to use Deep Learning to detect objects in georeferenced raster images.

ElliotY-ML/Hippocampus_Segmentation_MRI

Udacity AI for Healthcare Nanodegree Project: Measurement of Hippocampus Structure in MRI 3-D Images using Deep Learning Image Segmentation

akueisara/deep-learning-projects

Deep Learning Projects using Python & Pytorch

brlivsky/helmet-detection-yolo

We present the Automatic Helmet Detection System, a CNN model trained on image dataset that can detect motorbikes as well as riders wearing helmets.

jesus-333/Dynamic-PyTorch-Net

Class to automatic create Convolutional Neural Network in PyTorch

Marcoscos/windpowerforecastDTU

Repository containing the group project Wind Power Forecasting for DTU's 02456 Deep Learning.

igsb/GestaltMatcher

Facial analysis framework for genetic disorders with facial dysmorphism

hellloxiaotian/CDNet

yousefkotp/Speech-Emotion-Recognition

Exploration of different audio features and CNN-based architectures for building an effective Speech Emotion Recognition (SER) system. The goal is to improve the accuracy of detecting emotions embedded in speech signals. The repository contains code, notebook, and detailed explanations of the experiments conducted.

lipeeeee/lunachess

Deep Reinforcement Learning Chess Engine in Pytorch

pminhtam/MIRnet_SIDD

Pytorch implement "Learning Enriched Features for Real Image Restoration and Enhancement"

georgeretsi/defHTR

Deformation-invariant line-level Handwritten Text Recognition (HTR) using a convolutional-only architecture.

Rickey-CS/Sentiment-Text-Classification-Pytorch

sentiment-analysis,document-classification,svm,logistic-regression,rcnn-text-classification, cnn-text-classification, lstm-text-classification, naive-bayes-classifier, sklearn-classify, pytorch

swarajkumarsingh/cnn-cifar-classification-model

Cifar classification model using Pytorch CNN module with ResNet9 model, with CUDA for training to archive 75% accuracy

tushar-tj/Convolutional-Neural-Networks-for-Sentence-Classification

Implementation of Convolutional Neural Networks for Sentence Classification by Yoon Kim

volkansonmez/Exploratory_Data_Analysis_and_ML_Projects

Several datasets are manipulated, visualized, and analyzed with well-known ML Algorithms to make predictions, clustering, or classifications.

Shikha-code36/early-exit-cnn

A deep learning framework that implements Early Exit strategies in Convolutional Neural Networks (CNNs) using Deep Q-Learning (DQN). This project enhances computational efficiency by dynamically determining the optimal exit point in a neural network for image classification tasks on CIFAR-10.