detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn
-
Updated
Apr 20, 2023 - Python
detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.
A simple TensorFlow 2 implementation of ResNet-18
Classify Beatbox Genre using Mel Spectograms and Resnet18 Classifier
Image classification done with Mindspore technology
Training neural nets with quantized weights on arbitrarily specified bit-depth
This is a clean, opinionated and minimalist implementation of the training and evaluation protocols for a fancy new self supervised learning (SSL) method called maximum manifold capacity representations.
🔪 Elimination based Lightweight Neural Net with Pretrained Weights
Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning
AI based security system!
It is the image classification task to classify Diabetic-Retinopathy category using ResNet18, ResNet50 pretrained model. which is related to kaggle competition. The kaggle competition link can found below. https://www.kaggle.com/c/diabetic-retinopathy-detection#description
Dogs Image Classifier classifies pet images to dogs and not dogs and identify the breeds of the classified dogs using transfer learning via PyTorch pretrained models.
Collision Avoidance Strategies with Jetracer Pro AI Kit.
This is an implementation of ResNet using keras.
Rice Species Classification using ResNet-18 and a Custom defined CNN, both using PyTorch. If you are getting started with PyTorch, then you may consider cloning this repo and start learning :)
Helper framework for Medical Image Analysis
Bird Species Classification Using Transfer Learning
Convert Pytorch model to Tensorflow lite model
Add a description, image, and links to the resnet18 topic page so that developers can more easily learn about it.
To associate your repository with the resnet18 topic, visit your repo's landing page and select "manage topics."