vishnuvardhan-b Goto Github PK

angular

angular-second-app

Created with StackBlitz ⚡️

angular-third-project

Created with StackBlitz ⚡️

audio-classification-deep-learning

We'll look into audio categorization using deep learning principles like Artificial Neural Networks (ANN), 1D Convolutional Neural Networks (CNN1D), and CNN2D in this repository. We undertake some basic data preprocessing and feature extraction on audio sources before developing models. As a result, the accuracy, training time, and prediction time of each model are compared. This is explained by model deployment, which allows users to load the desired sound output for each model that is successfully deployed, as will be addressed in more depth later.

audio-classification-using-cnn-mlp

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

audio-spectrum-analyzer-in-python

A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.

cnn-audio-denoiser

Tensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement

copd-research

cornell-cs5785-2022-applied-ml

Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2022)

coswara-data

Data repository of Project Coswara

cv

flta-materials

The projects and the materials that accompany the Flutter Apprentice book

generic_training_python_infy

Contains all Assignments of Python from Infosys Generic Training

lcd_v1

lung-sound-classification-system-lungsys-i

PyTorch, Android application code for lung sound classification

lung-sound-vggish

Implementation of IEEE Access paper - Lung Sound Recognition Algorithm Based on VGGish-BiGRU

lung_diagnostics

Keras implementation of Noise Masking RNN for respiratory sound classification

research-method

论文写作与资料分享

respiratory-disease-prediction

This codebase is focused on predicting lung diseases from a breathing sounds dataset. 8 experiments were conducted on 5 different machine learning models. In addition, a novel data augmentation algorithm was performed and tested.

respiratory_disorders

Respiratory Sound Classification

respirenet

This is the official implementation of the work RespireNet.

returnn-experiments

experiments with RETURNN

rpi-i2s

Using the ICS43432 MEMS microphone on a Raspberry Pi with i2s

rpi-resources

A collection of tutorials and examples for the Raspberry Pi

sana.openmrs

Encounter Queue and viewer module for OpenMRS

speech_emotion_recognition

Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.

thinkdsp

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

todoapp

vishnuvardhan-b

Config files for my GitHub profile.