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.

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

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.

Pretrained on ImageNet ResNet-152 model in Keras

Resnet-18、Resnet-34 and Resnet-50 etc. caffe train prototxt files.

✨ 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. ⚡

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)

Multiple Imagenet frameworks used for "dogs vs cats"

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.

Scene Classification using pytorch : Dataset created using frames from youtube videos

Implementation of resnet.

DeepLearning Benchmark for multi-harware & multi-framework

Implementation of ResNet series Algorithm

Test with ResNet-152 Deep Learning Model.

Fall 2021 Introduction to Deep Learning - Homework 2 Part 2 (face classification, face verification)