Symbolic music artificial Intelligence toolkit for rapid prototyping, design and evaluation of the symbolic music AI architectures, systems and models
Recommended and required for the latest version of the modules/files:
!git clone --depth 1 https://github.com/asigalov61/tegridy-tools
Hassle-free automatic install , setup, and all core modules imports
!curl -O https://raw.githubusercontent.com/asigalov61/tegridy-tools/main/install/setup.sh
# !wget https://raw.githubusercontent.com/asigalov61/tegridy-tools/main/install/setup.sh
!chmod +x setup.sh
!bash setup.sh
!rm setup.sh
After install you can import/re-import modules like so...
Standard Python auto-imports/re-imports
# CPU setup and imports
!python ./tegridy-tools/install/setup.py
# GPU setup and imports
!python ./tegridy-tools/install/setup_cuda.py
Google Colab auto-imports/re-imports
# CPU setup and imports
%run ./tegridy-tools/install/setup.py
# GPU setup and imports
%run ./tegridy-tools/install/setup_cuda.py
Manual imports/re-imports
import os
import copy
import math
import statistics
import pickle
import shutil
from itertools import groupby
from collections import Counter
from sklearn.metrics import pairwise_distances
from joblib import Parallel, delayed, parallel_config
import numpy as np
from tqdm import tqdm
from PIL import Image
import matplotlib.pyplot as plt
import TMIDIX
import TPLOTS
import TMELODIES
import HaystackSearch
import midi_to_colab_audio
from x_transformer_1_23_2 import *
import random
Detailed core modules documentation
@inproceedings{lev2024tegridytools,
title = {tegridy-tools: Symbolic Music NLP Artificial Intelligence Toolkit},
author = {Aleksandr Lev},
booktitle = {GitHub},
year = {2024},
}