Popular GitHub Repositories for Data Collection

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.

Development of AI audio app to compare the cough of a Coronavirus (COVID-19) infected individual with the cough of an uninfected individual.

Automatic Speech Recognition Dataset Generation

My capstone project explores machine learning, hardware, and web development to create a smart home system for monitoring the health of homebound patients suffering from sleep apnea. The system includes data collection through sensors, embedded ML (TinyML) to analyze data, and web development for creating a medical dashboard.

An "AI-on-device" project walks with you through all necessary steps, from collecting your own data, creating and training your own Tensorflow model, generating your own Tensorflow-lite model, developing both Python and C++ programs to recognize images on Raspberry Pi 3.

Digital marketing analytics solution that scrapes websites for SEO factors and predicts advertisement CTR

Research into the difference in preference of AI's perceived personality in chatbot communication

A pipeline that collects, preprocesses and labels raw user-item interaction data to build a recsys with collaborative filtering (SVD, ALS) and LTR (XGBoost ranking) methods

Price forecast for several crypto coins taking into account the influence of media resources. For this purpose, besides historical data on coins, posts from Reddit and Twitter with mention of coins, as well as information from Google Trends and Wikipedia were collected. Sentiment analysis improved the accuracy of cryptocurrency price forecasts.

Repository for Assignment 1 of team KAR.ai. - Human Activity Recognition (HAR) with Decision trees and LLMs

ML model predicting League of Legends match outcomes with 87.9% accuracy pre-game. Outperforms 50% ELO baseline utilizing historic match data and machine learning.

This repository is dedicated to a TIL project i.e. text classification project where we aim to build a robust and accurate text/article classification model according to IAB Categories.

AutoAI is a tool that automates machine learning tasks to ease the tasks of data scientists. It automatically prepares your data for modeling, chooses the best algorithm for your problem, and creates pipelines for the trained models, and it can be run in public clouds and in private clouds, including IBM Cloud Pak for Data. In this workshop we will be focusing on Customer Churn using AutoAI

Counting currency from video using RepNet as a base model.

This repo houses ML model development files for `worth`, a tool that estimates salaries based on skills, behavior, and demographic data of students. It includes data collection, cleaning, model training, and tuning.

A Flutter application for collecting face movement data to train machine learning models for exercise activity detection

A complete Python pipeline that automates the creation of structured datasets from natural language search queries. This tool searches the web for content matching your query, scrapes and cleans the content, and outputs a structured dataset in multiple formats.

Various AI Chatbots build with Rasa Framework

The goal of this project is to build a machine learning model that automatically classifies emails as spam (unwanted) or ham (legitimate). The model will be trained on a labeled dataset and use features extracted from the email content to predict whether an email is spam or not.

Example shows how to batch create a Drudge Report type site using Open AI's Function Calling API.