TensorFlow

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 project focuses on building a Lyric Classification Model using LSTM (Long Short-Term Memory) and CNN (Convolutional Neural Networks). The models' purpose is to identify which artist a given lyric belongs to. Users can input lyrics and the models will predict the associated artist, aligning with the course's focus on the practical implementation of Natural Language Processing (NLP) tasks.

The project focuses on developing a predictive tool for chess using recurrent neural network (RNN) models implemented in TensorFlow. Data collection was carried out using web scraping techniques from the website https://www.chess-poster.com.

El proyecto se orienta hacia el desarrollo de una herramienta predictiva para el ajedrez, empleando modelos de red neuronal recurrente (RNN) implementados en TensorFlow. La recopilación de datos se realizó mediante técnicas de web scraping desde la página https://www.chess-poster.com.

This project aims to leverage the Ames Housing Price Dataset to develop an accurate predictive model for estimating residential property sale prices in Ames, Iowa. By analyzing various property features and their relationships to sale prices, the project seeks to uncover insights that can inform both buyers and sellers in the housing market.

A Python library for Secure and Explainable Machine Learning

Documentation available @ https://secml.gitlab.io

Follow us on Twitter @ https://twitter.com/secml_py

бинарный предобученный классификатор со всеми метриками и предсказанием

Graduate Tools and Models - Data Science.

Rice University, Spring 2024.

A project focused on weather classification using advanced deep learning techniques, specifically leveraging TensorFlow and a custom Convolutional Neural Network (CNN). The project involved the integration of four diverse weather datasets, namely ACDC, MWD, UAVid, and Syndrone, covering various weather conditions, including clear sky, cloudy, rainy, and sunny weather. Developed a custom CNN architecture using TensorFlow's Keras API, incorporating convolutional layers for feature extraction and dense layers for classification.

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.

Copy of my kaggle notebooks from account for that time

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.

Рабочий сервис генерации продолжения текста песни по короткой фразе на основе текстов песен группы Metallica

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

Exact and differentiable spherical harmonic and Wigner transforms for TensorFlow

Machine Learning - Content Based Recommendation System

This project deals with human detection from IR-UWB radar sensors. In this project, we implement a custom Convolutional Neural Network with TensorFlow to classify reflected signals from people queuing and walking in a closed space.

A DCGAN toolkit for training on Deviant Art search queries using TensorFlow.