Skin Cancer Detection Web App using Flask Framework deployed on the Heroku server.
-
Updated
Oct 13, 2022 - Python
#
densenet169
Here are 4 public repositories matching this topic...
Towards Online Waypoint Generation for a Quadrotor Using Enhanced Monocular Depth Estimation.
deep-learning
kitti-dataset
depth-estimation
nyu-depth-v2
monocular-depth-estimation
densenet169
multi-task-regression
waypoint-prediction
-
Updated
Oct 15, 2022 - Python
Replicated results from DenseDepth using DenseNet169 in Python.
nyuv2
monocular-depth
nyu-depth-v2
densenet-keras
monocular-depth-estimation
monocular-slam
densenet169
-
Updated
Jun 27, 2019 - Python
This project implements and compares two deep learning architectures (ResNet50 and DenseNet169) for classifying glomeruli images into globally sclerotic and non-globally sclerotic categories.
-
Updated
Oct 29, 2024 - Python
Improve this page
Add a description, image, and links to the densenet169 topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the densenet169 topic, visit your repo's landing page and select "manage topics."