This repository is related to the paper "Data augmentation and hierarchical classification to support the diagnosis of neuropathies based on time series analysis".

Build a custom convolutional neural network neural network from scratch in Tensorflow to identify the type of skin cancer from image.

This application is made to perform data augmentation with an easy to use interface. You are provided with various traditional data augmentation techniques like rotation, crop, zooming, etc.

Data augmentation is a technique used to create more examples, artificially, from an existing dataset. This is useful if the dataset is small and we want to increase the number of examples. Data augmentation can often solve over-fitting so that our model generalizes well after training. For images, a variety of augmentation can be applied to incr…

L'objectif de ce projet est de développer un outil d' aide à la décision pour les banques permettant de vérifier l’authenticité de la signature d'identifier les chèques falsifiés.

Simple numpy-based implementation of SpecAugment

Emotion detection from small images using CNN

•Developed a Convolution Neural Network (CNN) model from scratch for detecting Covid-19 using chest X-Ray images •Achieved highest accuracy of 92.24% and 96.66% on training and testing set post data augmentation techniques

Neural networks for algae identification

Image classifiaction done on cifar 10 using deep learning (CNN)

Landmark Detection using pre-trained models.

Face Mask Detection Competition on Kaggle

Curso Convolutional Neural Networks in TensorFlow disponibilizado pela DeepLearning.AI e ministrado através do Coursera

Disease - Symptom Dataset Cleaning and Augmenting Process

Brain tumor detection using Deep learning in MRI images

Cifar-10 CNN implementation using TensorFlow library

Implemented Generative Cooperative Network for Image Generation and Data Augmentation- Deep Neural Network Course Project

Scripts and figures as a part of an ongoing research initiative for Advancing Hepatocellular Carcinoma Staging and Prognosis