SUBLIME VS qt-dab

Compare SUBLIME vs qt-dab and see what are their differences.

SUBLIME

Semantically Understanding Bias with LIME. Using the LIME-RS Algorithm to understand bias in recommender systems. (by FurkanToprak)

qt-dab

Qt-DAB, a general software DAB (DAB+) decoder with a (slight) focus on showing the signal (by JvanKatwijk)
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SUBLIME qt-dab
1 3
3 275
- -
10.0 9.0
over 2 years ago 24 days ago
Jupyter Notebook C++
- GNU General Public License v3.0 only
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.

SUBLIME

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

qt-dab

Posts with mentions or reviews of qt-dab. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-14.

What are some alternatives?

When comparing SUBLIME and qt-dab you can also consider the following projects:

engineering-management - A collection of inspiring resources related to engineering management and tech leadership

sdr-j-fm - sdr-j fm software

interpret - Fit interpretable models. Explain blackbox machine learning.

gqrx - Software defined radio receiver powered by GNU Radio and Qt.

shapash - 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

sdrangel - SDR Rx/Tx software for Airspy, Airspy HF+, BladeRF, HackRF, LimeSDR, PlutoSDR, RTL-SDR, SDRplay RSP1 and FunCube

AIF360 - A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

CWOX - A XAI Framework to provide Contrastive Whole-output Explanation for Image Classification.

image-crop-analysis - Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency