SRMIST-B.Tech-ECE-Notes-2022-24 VS machinehearing

Compare SRMIST-B.Tech-ECE-Notes-2022-24 vs machinehearing and see what are their differences.

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SRMIST-B.Tech-ECE-Notes-2022-24 machinehearing
1 1
27 220
- -
7.0 7.3
3 months ago about 2 months 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.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

SRMIST-B.Tech-ECE-Notes-2022-24

Posts with mentions or reviews of SRMIST-B.Tech-ECE-Notes-2022-24. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-31.

machinehearing

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

What are some alternatives?

When comparing SRMIST-B.Tech-ECE-Notes-2022-24 and machinehearing you can also consider the following projects:

SRMIST-B.Tech-ECE-Notes-2022-24.

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

notes - Articles about Python and Go, snippets, cheatsheets

steerable-nafx - Steerable discovery of neural audio effects

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

AudioInsightsGenerator - Unlock AI power with AudioInsightsGenerator! From audio to summaries, emotion analysis, idea generation, narratives, and content filtering. Explore your audio's hidden dimensions!

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

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