Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI

Skin Lesion Analysis Towards Melanoma Detection

Vancouver School of AI - Image Classification Series 2

American Sign Language to English real time Conversion App

Putting together VS Code extension, Quarkus, Deep Java Library, and image classification into a simple project.

This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks.

PyTorch Global Summer Hackathon 2020 Second Prize Winner in Mobile/Web Application Category

Classify Beatbox Genre using Mel Spectograms and Resnet18 Classifier

Binary classifier of melanoma

For questions please contact: shohruh.maxmudov@mail.ru

Use jFaces to predict unknown images by training a set of images

Testing - What can be done with Fisherfaces

Posting all the things learnt in my #100daysofcode journey

Build a image classification python web app with Streamlit and PyTorch 🐱 🐶

Context Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits.

This is a deep learning project for predicting name from given image.

"Which Is It" is an iOS mobile application that understands which species of mushrooms, insects, plants and birds you see.

Aalto University CS-E4890 Deep Learning Project: Landmark Classification From Images Using Convolutional Deep Neural Networks

A tensorflow tool for loading some pre-trained models from MatConvNet

A Simple Emoji Classifier in python.

Objective: Identify and classify images when a user moves their camera towards said object. This simple mobile app is capable of identifying and classifying images/household items, storing that image name with accuracy and finally, searching keywords on the web to provide more details about the image/item that has been classified.

Image Classification using Keras as well as Tensorflow. Image Classification is a Machine Learning module that trains itself from an existing dataset of multiclass images and develops a model for future prediction of similar images not encountered during training. Developed using Convolutional Neural Network (CNN).

Vancouver School of AI - Image Classification

This is a keras implementation of Convolution Neural Network for predict how many fingers are you holding up.

AutoDraw on iOS

Image classification using satellite imagery.