SUBLIME VS CWOX

Compare SUBLIME vs CWOX 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)

CWOX

A XAI Framework to provide Contrastive Whole-output Explanation for Image Classification. (by vaynexie)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
SUBLIME CWOX
1 1
3 8
- -
10.0 5.9
over 2 years ago 10 months ago
Jupyter Notebook Jupyter Notebook
- BSD 3-clause "New" or "Revised" 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.

SUBLIME

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

CWOX

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

What are some alternatives?

When comparing SUBLIME and CWOX you can also consider the following projects:

qt-dab - Qt-DAB, a general software DAB (DAB+) decoder with a (slight) focus on showing the signal

mwptools - ground station, mission planner and tools for inav and multiwii-nav

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

interpret - Fit interpretable models. Explain blackbox machine learning.

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

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.

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