There are 4 repositories under cnn-pytorch topic.
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
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.
Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)
Attention-guided CNN for image denoising(Neural Networks,2020)
Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2021)
Implementation of MobileNetV3 in pytorch
Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)
Enhanced CNN for image denoising (CAAI Transactions on Intelligence Technology, 2019)
Designing and Training of A Dual CNN for Image Denoising (Knowledge-based Systems, 2021)
edepth is an open-source, trainable CNN-based model for depth estimation from single images, videos, and live camera feeds.
Genre Classification using Convolutional Neural Networks
Binary classification problem that aims to classify human voices from audio recordings. Implemented using PyTorch and Librosa.
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.
1D convolutional neural networks for activity recognition in python.
Code for "Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features" arXiv:2110.08862, 2021.
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.
Class to automatic create Convolutional Neural Network in PyTorch
Deep Learning Projects using Python & Pytorch
Udacity AI for Healthcare Nanodegree Project: Measurement of Hippocampus Structure in MRI 3-D Images using Deep Learning Image Segmentation
Facial analysis framework for genetic disorders with facial dysmorphism
Repository containing the group project Wind Power Forecasting for DTU's 02456 Deep Learning.
We present the Automatic Helmet Detection System, a CNN model trained on image dataset that can detect motorbikes as well as riders wearing helmets.
Deep Reinforcement Learning Chess Engine in Pytorch
Pytorch implement "Learning Enriched Features for Real Image Restoration and Enhancement"
Several datasets are manipulated, visualized, and analyzed with well-known ML Algorithms to make predictions, clustering, or classifications.
sentiment-analysis,document-classification,svm,logistic-regression,rcnn-text-classification, cnn-text-classification, lstm-text-classification, naive-bayes-classifier, sklearn-classify, pytorch
Implementation of Convolutional Neural Networks for Sentence Classification by Yoon Kim
Deformation-invariant line-level Handwritten Text Recognition (HTR) using a convolutional-only architecture.
Unsupervised video summarization with deep(GAN) reinforcement learning
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.
Pediatric pneumonia image classification with (strongly) imbalanced data via Pytorch 🫁