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.)

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.

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.

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

This project is about Speech Emotion Recognition using machine learning models

🎸 Transform guitar audio into note predictions and tablature using deep learning and DSP in this research-focused project.