Car Model Recognition project
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Updated
Mar 11, 2022 - Python
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Car Model Recognition project
This is an implementation of ResNet-50/101/152.
This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".
My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
In the realm of EKG/ECG analysis, deep learning models have made significant strides. However, the pursuit of efficiency and accuracy persists. The proposed Mamba Biometric EKG Analysis Technology (MambaBEAT) project aims to utilize the Mamba model, a promising sequence modeling architecture, to further advance EKG analysis.
Simple implementation of search for visually similar images using deep learning and vector search. It's based on pretrained ImageNet weights so it doesnt require any additional training
Pretrained on ImageNet ResNet-152 model in Keras
✨ Font recognition using deep neural networks. 💥 This repository includes an implementation of Article "DeepFont: Identify Your Font from An Image" 🔥 for font recognition and two transfer-learning models. ⚡
AI-powered diabetic retinopathy detection using ResNet-152 deep learning. Web app with Flask REST API, PyTorch, real-time retinal image classification, 5-stage severity detection. Medical imaging, computer vision, transfer learning, healthcare AI, ophthalmology screening tool.
Resnet-18、Resnet-34 and Resnet-50 etc. caffe train prototxt files.
Code repository for training multi-label classification models on the CheXpert Chest X-ray dataset.
Tensorflow 2 implementations of ResNet-18, ResNet-34, ResNet-50, ResNet-101, and ResNet-152 from Deep Residual Learning for Image Recognition by Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun (2015)
Implementation of ResNet series Algorithm
Multiple Imagenet frameworks used for "dogs vs cats"
Real-time driver drowsiness detection using ResNet-152 | 99.10% accuracy | Live demo on HuggingFace 🚗
DeepLearning Benchmark for multi-harware & multi-framework
Scene Classification using pytorch : Dataset created using frames from youtube videos
Code repository for Tactode tiles recognition using: (i) machine learning with HOG&SVM, (ii) deep learning with some neural networks like VGG16/19, ResNet152, MobileNetV2, YOLOv4 and SSD, (iii) matching of handcrafted features with SIFT, SURF, ORB and BRISK, and (iv) template matching.
Implementation of resnet.
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