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Top 3 Python Pattern Recognition Projects
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tmu
Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.
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Scout Monitoring
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CogAlg
This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README
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DataPatternX
DataPatternX is a starter kit for seamless data pattern analysis. It connects to a PostgreSQL database (e.g., Neon Serverless Postgres), retrieves complex data patterns, and plots charts. The kit includes modules for database connection, query execution, chart plotting, and easy CLI tools for efficient interaction.
Building DataPatternX allowed me to explore the intersection of financial data analysis and open-source development, pushing the boundaries of what I could achieve despite the challenges. I invite you to check out the project, write your thoughts, and explore what it has to offer.
Python Pattern Recognition discussion
Python Pattern Recognition related posts
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Tsetlin machine – the other AI toolbooks
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Tsetlin Machine Unified (TMU) - One Codebase to Rule Them All
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[R] New Tsetlin machine learning scheme creates up to 80x smaller logical rules, benefitting hardware efficiency and interpretability.
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This Artificial Intelligence (AI) Research From Norway Introduces Tsetlin Machine-Based Autoencoder For Representing Words Using Logical Expressions
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Best Possible Book Recommended for Machine Learning [Discussion] [D] [Recommendation]
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A note from our sponsor - Scout Monitoring
www.scoutapm.com | 14 Sep 2024
Index
What are some of the best open-source Pattern Recognition projects in Python? This list will help you:
Project | Stars | |
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1 | tmu | 119 |
2 | CogAlg | 91 |
3 | DataPatternX | 1 |