MAGIST-Algorithm VS ADBench

Compare MAGIST-Algorithm vs ADBench and see what are their differences.

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MAGIST-Algorithm ADBench
1 1
5 780
- -
3.8 6.9
9 months ago 9 months ago
Python Python
GNU General Public License v3.0 only BSD 2-clause "Simplified" 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.

MAGIST-Algorithm

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

ADBench

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

What are some alternatives?

When comparing MAGIST-Algorithm and ADBench you can also consider the following projects:

100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

UGFraud - An Unsupervised Graph-based Toolbox for Fraud Detection

python - 🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts using Libraries and Logic. These things everyone should know in their journey with programming.

pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)

contrastive-reconstruction - Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.

TranAD - [VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

neuro-symbolic-sudoku-solver - ⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.

logparser - A machine learning toolkit for log parsing [ICSE'19, DSN'16]

keras-nlp - Modular Natural Language Processing workflows with Keras

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

IntroDLPython - This repository is updated by a number of introductory projects to deep learning with Python.

fcdd - Repository for the Explainable Deep One-Class Classification paper