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

😷 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

Preprocessing model through non uniform filtering for CNN

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.

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

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.

This project is about Speech Emotion Recognition using machine learning models

A handwritten digit classifier based on NeuralLib

Brain tumor detection using different approaches

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.