Torch.NET usage examples
-
Updated
Aug 1, 2021 - C#
Torch.NET usage examples
Its a simple Image Classifier Web App where user can upload an image and predict what the image is. I am using TensorFlow.js for image classification.
This repo shows AI Implementation and how to use ONNXJS with Next.js.
This is a project including most of the CNN backbones
Mask and Face detection using mobilenetV2 and face detection module
A Neural Network that uses Celeb-A and ImageNet dataset of Celebrity faces and Non-faces and classifies them accordingly.
Detect objects in Image using Deep Learning
Artificial Intelligence in Assistive Technology. Using AI and Machine Learning we can redefine what vision means for visually impaired or blind.
Implementing the GoogLeNet architecture proposed by C Szegedy et. al
Use transfer learning for large image classification
Transfer Learning using Mobilenet model on a Flower Dataset
Models with variable output classes designed for Imagenet-1k.
Basic Use of a pretrained on ImageNet Classifier + demonstrating the use of StreamLit WebUI
A Web App made for image identification using Keras, ResNet-50 and Django
A cannabis-trained DeepDream.
short training script for ViT, Swin-T, CvT, MsViT and Dino
This repository incorporates different simple CNN implementations into different datasets that can be found from Keras datasets
Vector Search Application for Image Similarity Search, specifically designed for medical X-rays, leveraging ResNet50, Chest-XRay dataset and Milvus vector database
App runs a PyTorch model trained on ImageNet to predict the label of an image fed into it
About deep learning and time series data in seismology
Add a description, image, and links to the imagenet-classifier topic page so that developers can more easily learn about it.
To associate your repository with the imagenet-classifier topic, visit your repo's landing page and select "manage topics."