TensorFlow

Machine Learning - Content Based Recommendation System

Annonymizing facial footprints - anonyME allows users to inoculate their personal images against unauthorized machine learning models, with minimal distortion of the input image, and no need for prior machine learning knowledge.

Computer vision object classifier for Android

Tensorflow - Google Assistant - Politeknik Negeri Jakarta

collision risk assessment network implementation in tensorflow

Prediction of age from X-Ray images of hand bones using deep learning models. We used 3 models: Shallow, ResNet50, and InceptionV4. The best result achieved was with a mean absolute error of 10 months using InceptionV4. The preprocessing of data included computer vision techniques like CLAHE filter and reducing channels, and also creativities such as using the Google MediaPipe library to detect hands and crop on them.

Multimodal Brain Tumor Segmentation (BRATS) Challenge 2019

Training of deep networks for medical image segmentation tasks Network and training strategy that relies on the strong use of data augmentation

This Car Prediction Project aims to predict v price, using Regression models. The project contains a collection of data files, model files, and Python scripts necessary for training and deploying car prediction Price models. This project encompasses a comprehensive set of data files, serialized models, and Python scripts necessary for training, evaluating, and deploying car price prediction models.

This project aims to build a Celebrity Look-A-like Model using CNN (Convolutional Neural Networks) based on the VGG (Visual Geometry Group) 16 Model. Users can enjoy a lighthearted exploration of their celebrity doppelgängers. The project integrates image processing, CNN implementation, transfer learning and practical neural network applications, aligning with the course's focus on the practical implementation of Deep Neural Networks.

This repo is trying to train CIFAR10 dataset using pure tensorflow. I also completed with cat_dog_pandas project to strengthen our comprehension.

Construction d'une IA de reconnaissance et de classification de documents d'identité, d'adresse et de revenu, ainsi qu'une API avec Flask

Introduction to classification using machine learning and deep learning (PyTorch, TensorFlow, Keras)

Neural network for object classification

comp7015-ai

The goal is to find the best algorithm for content-based image retrieval. Demo available: https://sch-cbir-benchmark.herokuapp.com/

Statistical web application which not only allows to analyze coivd spread with interactive map and tons of indicators presented on charts, but also predicts daily cases, deaths etc for future days.