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

Unveiling the Layers: Neural Networks from first principles

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.

In this repository I have build three neural network architectures to accurately classify water bottle brands from a custom image dataset.

A complete convolutional neural network implemented from scratch

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

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

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

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

IN5400 Mandatory exercise 1

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

An application that predicts next-day DOGE-USD with a transformer architecture using daily DOGE + BTC features. Compare against Naïve/EMA baselines with metrics and plots. Not financial advice.

This repository contains the resources our team used through the course of the CLEF competition.