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Scam Blocklist is a code project with source, releases, documentation, or setup notes.
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Pi Hole Optimized Blocklists is a code project with source, releases, documentation, or setup notes.
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Next DNS Config is a code project with source, releases, documentation, or setup notes.
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Huge AI Blocklist is a code project with source, releases, documentation, or setup notes.
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Hosts File Aggregator is a code project with source, releases, documentation, or setup notes.
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DNS Server is a code project with source, releases, documentation, or setup notes.
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Bookmarklet is a code project with source, releases, documentation, or setup notes.
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Blocklist is a code project with source, releases, documentation, or setup notes.
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AI uBlock Blacklist is a code project with source, releases, documentation, or setup notes.
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Nuklear is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Dockle is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Curated list of classless CSS themes and frameworks for styling semantic HTML quickly.
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Performance Checklist is a GitHub repository or organization with source code, releases, documentation, or project resources.
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SparkleShare helps upload, sync, or manage files across cloud storage, remote drives, or shared storage services.
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GitHub OSINT collection with tools, links, checklists, and resources for online investigations.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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Analyzes structured data and helps produce queries, insights or visualizations.
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A system for quickly generating training data with weak supervision.
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Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.
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An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
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Open-source module for running AI workloads on Kubernetes in an optimized way.
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Llama3 implementation one matrix multiplication at a time.
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Integrate LLM technology quickly and easily into your apps.
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Using Low-rank adaptation to quickly fine-tune diffusion models.