Implementation of DenseNets Using PyTorch
-
Updated
Nov 15, 2017 - Python
Implementation of DenseNets Using PyTorch
Source code for Microsoft Code Fun Do Hackathon organized at IIT (BHU)
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
In this repository, I released senet-densenet training codes and output files. And it refer to another repository(https://github.com/zhouyuangan/SE_DenseNet), which repository I had made some notes in.
Memory-Efficient Implementation of DenseNets via PyTorch 1.0
In this project, an image classifier is trained to recognize different species of flowers
PyTorch challange at Udacity - flower classifier
An Image Classifier built with PyTorch and Google Colab
Simple Code Implementation of "DenseNet" architecture using PyTorch.
Transfer Learning on my butterfly images using PyTorch
A deep learning, image classifying project for flower species using PyTorch and Jupyter Notebooks
Classifies whether an image is of a dog or cat using pre-trained models
classification on diabetic retinopathy images
Using deep learning and computer vision(pytorch) to detect accidents on dashcam and report it to nearby emergency services with valid accident images
Final Project of the Udacity AI Programming with Python Nanodegree
My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
Heat Map 🔥 Generation codes for using PyTorch and CAM Localization Algorithm.
Add a description, image, and links to the densenet-pytorch topic page so that developers can more easily learn about it.
To associate your repository with the densenet-pytorch topic, visit your repo's landing page and select "manage topics."