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Unified metadata exploration API service for Hive, RDS, Teradata, Redshift, S3 and Cassandra.
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MetadataRemover is a code project with source, releases, documentation, or setup notes.
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MetaRadar is a code project with source, releases, documentation, or setup notes.
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An open source robotics benchmark for meta- and multi-task reinforcement learning.
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Metrolist is a code project with source, releases, documentation, or setup notes.
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Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
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Mic You is a code project with source, releases, documentation, or setup notes.
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General technology for enabling AI capabilities w/ LLMs and MLLMs.
github.com
Integrate LLM technology quickly and easily into your apps.
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LLM-powered multiagent persona simulation for imagination enhancement and business insights.
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MiCTS is a code project with source, releases, documentation, or setup notes.
github.com
MiddleClick is an open source command-line or Unix tool for terminal workflows and system use.
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Mindful is a code project with source, releases, documentation, or setup notes.
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Analyzes structured data and helps produce queries, insights or visualizations.
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MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
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Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
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Miru App provides software and setup resources for accessing or managing video streams.
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Misaka is a code project with source, releases, documentation, or setup notes.
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Browser extension for searching IPs, domains, hashes, URLs, and indicators across threat intelligence services.
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MJ PDF is a code project with source, releases, documentation, or setup notes.
github.com
All-in-one web-based IDE specialized for machine learning and data science.
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500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
github.com
mLauncher is a code project with source, releases, documentation, or setup notes.
github.com
Version and deploy your ML models following GitOps principles.