Implementation of SE-ResNet, SE-ResNeXt and SE-InceptionV3 from scratch and comparison of the results obtained for CIFAR-10, CIFAR-100 and Tiny ImageNet with the original paper.
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Updated
Dec 22, 2021 - Jupyter Notebook
Implementation of SE-ResNet, SE-ResNeXt and SE-InceptionV3 from scratch and comparison of the results obtained for CIFAR-10, CIFAR-100 and Tiny ImageNet with the original paper.
Training pipeline for alzheimers classification with custom built EfficientNet and ResNeXt models.
Cdiscount Image Classification Challenge on kaggle.com
Colorectal Disease Classification Using ResNet and ResNeXt
Course Project for ECE 285 Special Topics in Robotics : Machine Learning for Image Processing, taken during Fall 2019
PetFinder.my - Pawpularity Contest 13/3537 solution
InClass Prediction Competition by Cyber Labs hosted on Kaggle
This projects aims in detection of video deepfakes using deep learning techniques like ResNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained ResNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features.
Neural networks for image classification
This is the Pytorch implementation of the paper in Journal of Periodontology "Construction of an end-to-end regression neural network for the determination of a quantitative index sagittal root inclination". https://aap.onlinelibrary.wiley.com/doi/10.1002/JPER.21-0492
DeepFake Detection Web-App[Mirage Breaker] 🖥 using Deep Learning(ResNext and LSTM), Flask and ReactJs where you can predict whether a video is FAKE Or REAL along with the confidence ratio.
Kaggle's plant disease image classification competition. Finetuning pre-trained CNN models, loss functions, and optimizers in order to achieve better results.
Boundary detection using Probability of Boundary || Implementation and analysis of deep learning architectures such as ResNet, DenseNet, etc.
tf-keras-implemented YOLOv2
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