stringlifier VS MAGIST-Algorithm

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

stringlifier

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data. (by adobe)
Machine Learning Python3 API Analysis unsupervised-machine-learning Clustering tf-idf raw-text Pytorch convolutional-networks long-short-term-memory Classification
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MAGIST-Algorithm

Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta (by DeepShift-Labs)
Artificial intelligence artificial-neural-networks semi-supervised-learning unsupervised-machine-learning unsupervised-learning kmeans-clustering Database Data Science scrapping scrapping-python Keras Tensorflow AI Deep Learning Machine Learning NLP Python3 self-supervised-learning Collaboration Python
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stringlifier MAGIST-Algorithm
1 1
157 5
0.6% -
0.0 3.8
about 1 year ago 8 months ago
Python Python
Apache License 2.0 GNU General Public License v3.0 only
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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.

stringlifier

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

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.

What are some alternatives?

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

torchextractor - Feature extraction made simple with torchextractor

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.

pyDenStream - Implementation of the DenStream algorithm in Python.

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

PolyFuzz - Fuzzy string matching, grouping, and evaluation.

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.

muzero-general - MuZero

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

DBCV - Python implementation of Density-Based Clustering Validation

ADBench - Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

woodKubernetes - LXD wood cluster

keras-nlp - Modular Natural Language Processing workflows with Keras

stringlifier vs torchextractor MAGIST-Algorithm vs python stringlifier vs pyDenStream MAGIST-Algorithm vs 100DaysOfML stringlifier vs PolyFuzz MAGIST-Algorithm vs contrastive-reconstruction stringlifier vs muzero-general MAGIST-Algorithm vs neuro-symbolic-sudoku-solver stringlifier vs DBCV MAGIST-Algorithm vs ADBench stringlifier vs woodKubernetes MAGIST-Algorithm vs keras-nlp