AudioInsightsGenerator VS machinehearing

Compare AudioInsightsGenerator vs machinehearing and see what are their differences.

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AudioInsightsGenerator machinehearing
2 2
13 223
- -
5.2 6.8
10 months ago 5 days ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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AudioInsightsGenerator

Posts with mentions or reviews of AudioInsightsGenerator. We have used some of these posts to build our list of alternatives and similar projects.

machinehearing

Posts with mentions or reviews of machinehearing. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-08.

What are some alternatives?

When comparing AudioInsightsGenerator and machinehearing you can also consider the following projects:

Real-ESRGAN-Video-Batch-Process - Upscale any number of videos using this colab notebook!

hackmd - CodiMD - Realtime collaborative markdown notes on all platforms. [Moved to: https://github.com/hackmdio/codimd]

nlp-class - A Natural Language Processing course taught by Professor Ghassemi

steerable-nafx - Steerable discovery of neural audio effects

Torrent-To-Google-Drive-Downloader-v3 - Simple notebook to stream torrent files to Google Drive using Google Colab and python3.

vid2cleantxt - Python API & command-line tool to easily transcribe speech-based video files into clean text

SeeAI - Enabling computers to perform NLP on data obtained from advanced computer vision

SRMIST-B.Tech-ECE-Notes-2022-24 - Collection of all B.Tech ECE Notes for the academic year 2020-24.

dl-colab-notebooks - Try out deep learning models online on Google Colab

fibs-reporter - Automatically generate a pdf report containing feature importance, baseline modelling, spurious correlation detection, and more, from a single command line input for any given ML CSV file

machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition