MIDI-GPT

Checkout MIDI-GPT – AI-generated MIDI files from text descriptions

MIDI-GPT is a fork of the original MIDI-GPT model that utilizes GPT-3.5-turbo and few-shot prompting to generate MIDI files from natural language descriptions. The calculate() function calculates the mean, variance, standard deviation, maximum, minimum, and sum of values in a 3×3 matrix. Additionally, it includes a for loop that displays all numbers from 1-100 except for one specified number, allowing the user to exit the loop by inputting the missing value. The MIDI export titling has been updated to reflect the new filename format: track_name.

• Product Category: Music
• Product Pricing Model: Free

• Data Analyst
• Music Composer
• Sound Designer
• Software Developer
• Machine Learning Engineer

For Data Analyst

• Analyzing Music Data: As a data analyst, one should use MIDI-GPT to analyze music data by inputting a CSV file containing information about songs and generating MIDI files for each song in the dataset. This would allow to calculate statistics such as mean, variance, standard deviation, sum, and maximum/minimum values for each row, column, and element of a 3×3 matrix using the calculate() function. I could also use the for loop feature to identify missing data points and generate MIDI files with unique track names based on user input.
• Analyzing Financial Data: one should use MIDI-GPT to analyze financial data by inputting a CSV file containing information about stocks, bonds, or other financial instruments and generating MIDI files for each instrument in the dataset. This would allow to calculate statistics such as mean, variance, standard deviation, sum, and maximum/minimum values for each row, column, and element of a 3×3 matrix using the calculate() function.
• Analyzing Sports Data: one should use MIDI-GPT to analyze sports data by inputting a CSV file containing information about teams, players, and generating MIDI files for each team in the dataset. This would allow to calculate statistics such as mean, variance, sum, and maximum/minimum values for each row, column, and element of a 3×3 matrix using the calculate() function.
• Analyzing Weather Data: one should use MIDI-GPT to analyze weather data by inputting a CSV file containing information about temperature, humidity, and other weather variables and generating MIDI files for each day in the dataset. This would allow to calculate statistics such as mean, variance, sum, and maximum/minimum values for each row, column, and element of a 3×3 matrix using the calculate() function.
• Analyzing Health Data: one should use MIDI-GPT to analyze health data by inputting a CSV file containing information about patients and generating MIDI files for each patient in the dataset. This would allow to calculate statistics such as mean, variance, sum, and maximum/minimum values for each row, column, and element of a 3×3 matrix using the calculate() function.
• Analyzing Website Data: one should use MIDI-GPT to analyze website data by inputting a CSV file containing information about website traffic and generating MIDI files for each page or post. This would allow to calculate statistics such as mean, variance, sum, and maximum/minimum values for each row, column, and element of a 3×3 matrix using the calculate() function.

For Music Composer

• Create a custom MIDI file with unique musical elements based on a given prompt or description using the tool’s creative project feature.
• Analyze and manipulate existing MIDI files using the calculate() function to extract statistical data such as mean, variance, standard deviation, sum, and min/max values of specific rows or columns.
• Generate a new MIDI file with customized musical elements based on a given prompt or description using the tool’s creative project feature.
• Export MIDI files with unique track names using the calculate() function to analyze statistical data from existing files.
• Use the tool’s calculate() function to extract statistical data from a 3×3 matrix and create new musical elements based on the results.

For Sound Designer

• Generate a random melody using the MIDI-GPT Fork Repl37 tool for a music video project.
• Create a sound effect for a game or movie scene with the MIDI-GPT Fork Repl37 tool.
• Analyze and manipulate MIDI data using the MIDI-GPT Fork Repl37 tool for a research project.
• Generate background music for a video presentation with the MIDI-GPT Fork Repl37 tool.
• Create a custom sound design for a commercial or advertisement with the MIDI-GPT Fork Repl37 tool.

For Software Developer

• Generating a dynamic MIDI file based on user input for a specific project or task, such as creating a custom soundtrack for a video or game.
• Creating a MIDI file with unique patterns and rhythms for each track in a music composition software.
• Analyzing and visualizing data using the mean, variance, standard deviation, sum, and other statistical measures of a 3×3 matrix.
• Developing a custom algorithm that generates MIDI files with specific patterns and rhythms for each track in a project.
• Creating a MIDI file with unique patterns and rhythms for each track in a data analysis software.