Clean-Samples
Sample pack
Provides pre-cleaned and documented audio samples for musical experimentation
Like Dirt-Samples, but cleaned up
44 stars
17 watching
4 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
tidalcycles/dirt-samples | A collection of sample audio files used in music tutorials and software development examples | 150 |
tidalcycles/dirt | An experimental audio playback system designed to work with the Tidal music platform. | 85 |
shairosenblit/tidal-sound-explorer | An audio analysis and exploration tool using TidalCycles live coding language. | 28 |
davified/clean-code-ml | Adapting clean code principles to machine learning and data science in Python | 713 |
dirty-cat/dirty_cat | A Python library that helps machine learning on imperfect categorical data | 16 |
msamogh/nonechucks | Library that provides dynamic data cleaning and filtering capabilities for PyTorch datasets and samplers | 377 |
cleanlab/cleanvision-examples | Demonstrates the usage of CleanVision on various datasets and provides tutorials | 15 |
quodlibet/mutagen | A Python module for manipulating audio metadata across various formats. | 1,565 |
packing-box/dataset-packed-pe | A dataset of packed executable files used to train machine learning models for detecting packing techniques. | 29 |
neoadvancedtechnology/st2110_pcap_zoo | A collection of sample ST 2110 pcap files for testing and development purposes | 19 |
daenara/rhasspy_save_wakeword | A script that saves audio samples when wakewords are detected from an MQTT topic. | 2 |
pranshuchittora/autarky | Automates removal of outdated and unused node_modules to free up disk space | 362 |
waylybaye/xcodecleaner | An app that removes unwanted and deprecated files from Xcode projects to free up disk space. | 1,556 |
npm/normalize-package-data | Normalizes package metadata by cleaning and validating field values. | 196 |
idea-fasoc/datasheet-scrubber | Automates extraction of key circuit information from PDF datasheets/documents to build a database of commercial off-the-shelf IP. | 51 |