It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.

Neural Network that is able to translate any sign language into text.

Deep learning examples with Python and Tensorflow & Keras.

General purpose machine learning crate

Intro to tenserflow for deep learning Course with udacity

Este repositorio estará basado en la explicación paso a paso en el uso de TensorFlow, Google Colab, y Python en los entrenamientos de Machine Learning para luego usar a través de HTML y JSON los modelos aprendidos por una red neuronal.

Unveiling the Layers: Neural Networks from first principles

Parkinson Disease Prediction using SVM Model followed by Deployment of Model as an WebApp using Heroku

Lightweight neural network library for running compiled models on embedded systems

Deep learning application for real-time handwriting prediction using Convolutional Neural Network. 98% accuracy rate with 5 training epochs.

Hyperspectral Image Denoising using Attention and Adjacent Features Extraction Hybrid Dense Network

Detecting weather a given image of an X-ray scan of lungs has pneumonia or not using convolutional neural networks and deep learning.

From-scratch machine learning models with implementation tutorials.

- Project using Deep Learning libraries to classify customer churn

Artificial neural networks coded in c++.

Dense neural network that predicts animal adoption rates, w/ accuracy up to 87%

This project is built to help read and interprete sign languages of India. We are using an LSTM model as base

Computer vision project. We fine-tuned and adapted different neural networks to perform semantic segmentation on the Oxford-IIIT Pet Dataset.

Identifies handwritten digits using dense and convolutional neural nets on digit image data.