Implementation of supervised and unsupervised FLowNetS
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Updated
Aug 16, 2019 - Python
Implementation of supervised and unsupervised FLowNetS
Convolutional neural network implementation for school project
An Emotion Recognition webapp that detect faces and predicts the type of emotion shown on the face.
A simple implementation of an AI game player inspired by AlphaZero
Pneumonia prediction react and fastapi progressive web application.
Yoon Kim's Convolutional Neural Networks for Sentence Classification paper in PyTorch.
An educational walkthrough showing how to train a convolutional neural network (CNN) for image classification on CIFAR10.
An educational neural network library built using Google Jax.
The goal of this project was to help me in learning more about neural networks and how ai and machine learning algorithms use deep learning.
It is a Deep learning Model, which detect the drowsiness state of a driver while driving. And beep the alarm if eyes of driver closed for specific interval
"Covid19-Pneumonia-Detector" is a Django-ReactJS Web App with an Artificial Intelligence. It can detect COVID-19 and Pneumonia from X-ray Images using CNN based on DenseNet121 architecture.
A convolutional auto encoder (CAE) for removing noises from document images. I created an encoder-decoder architecture using tensorFlow that takes a noisy image as input and reconstructs it into a clear image removing the noises.
Built an MNIST Classifier with 88% accuracy using just NumPy
A case study of a non-linear Convolutional Neural Network using Keras' Functional API, in order to classify the numbers 0 to 5 in the Sign Language
This project aims to leverage computer vision and machine learning techniques to develop a system capable of detecting in real-time, whether or not a driver is distracted, contributing to enhanced road safety.
Control your android device with gestures with camera/computer vision
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