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.

BarkMeow is a pet care application specifically created for Sri Lankan pet owners

My Assignments for CS 342 Fall 2017

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

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

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

Guitar Audio Transcriber is a deep-learning research project aimed at converting raw guitar audio into musical note representations (and eventually tabulature) using neural networks and signal processing. The current implementation focuses on single-note classification using CNN and MLP models trained on time-frequency audio features.

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

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.

This project is about Speech Emotion Recognition using machine learning models

Brain tumor detection using different approaches