Style transfer is an application that merges content and style from two different images to create the resultant. Implemented using tensorflow and keras.

Solution for a sentiment analysis challenge, part of "Reto Enseña x Oracle España", a hackathon organized by Oracle.

Sentence classifier model implementations

Deep learning using tensorflow, keras, cnn

With the help of OpenCV and Deep Learning CNN algorithm performing some action with hand gesture though webcam like I'm playing chrome browser famous game dinosaur jump. And for CNN model I have collected my own Dataset by capturing 350+ images.

Deepscooting - Soccer player recommender system

Определение возраста человека, изображенного на фотографии.

Applying NLP models to detect sarcasm for the Twitter datasets using Bidirectional LSTMs

Conditional Variational Auto-Encoder for generation of synthetic data for Antimicrobial Resistance.

ResNet for CIFAR with Estimator API and tf.keras.Model class

In this project, I predicted whether fruit is rotten or not using sequential model, ResNet50v2 and VGG16, trained all of them using the Fruit fresh and rotten for classification Kaggle dataset. Got an accuracy of 96.96%, 97.41% and 91.4% respectively. Please see readme for details.

Convolutional Neural Network for classification room that Clean or Messy

FFNN model for digit recognition

Classifying images with a Convolutional Neural Net - [Python]

Experience the future of visual intelligence with Object tracking and Detection. 🚀👀 Track and identify objects in real-time for enhanced surveillance and analysis. 🔍🎯

Python tools to perform bathymetric inversion for nearshore areas with video monitoring and deep learning

This project consists of two parts: red wine quality prediction using Support Vector Machines (SVM) and fake news detection using a Sequential Neural Network.

This is an INTERACTIVE deep learning framework for time series forecasting. It uses Tensorflow 2+tf.karas.

This is template repository for tensorflow keras model development.

LSTM and n-gram based models for text generation.