An Image classifier to identify whether the given image is Batman or Superman using a CNN with high accuracy. (From getting images from google to saving our trained model for reuse.)

Implementation of a series of Neural Network architectures in TensorFow 2.0

Preprocessing model through non uniform filtering for CNN

😷 Machine learning models determining whether or not an individual is wearing a face mask, not wearing a face mask, or wearing a face mask incorrectly. Course project

An workshop on application of computer vision and machine learning to self-driving cars based on Python and ROS held at MIT.

My Assignments for CS 342 Fall 2017

[work-in-progress] Convolutional neural network for anomaly detection on large road networks

CNN and Data Augmentation to train a traffic sign classifier with OpenCv and Tensorflow

Playground for a computer vision pipeline for Facial Emotion Recognition (FER).

'CNN_Sorghum_Weed_Classifier' is an artificial intelligence (AI) based software that can differentiate a sorghum sampling image from its associated weeds images.

Classify images generated by deep generative models

Brain tumor detection using different approaches

This project is about Speech Emotion Recognition using machine learning models

Machine learning models that classify images of surfing locations based on the quality of the conditions.

A handwritten digit classifier based on NeuralLib

Our objective is Classification of Citrus Leaves Data using CNN classifier. Here, we are comparing performances of different optimizers and hyper-parameters on the basis of different metrics like Accuracy, Precision, Recall.