Top Finds
1314 projects scored — rated across Innovation, Craft, Traction, and Scope.

Open-source multi-modal AI content detection platform, analyses text, images, audio, and video for AI provenance with explainable scoring, multi-provider consensus, public benchmarks, and enterprise deployment (Helm, Terraform)
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Latent diffusion model for attribute-conditioned face generation, with reproducible data ingestion, YAML-configured training and inference, offline evaluation through FID, KID, Inception Score, and pre-trained face detection.
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A lightweight, DAG-based pipeline framework for ML workflows with YAML configuration and parallel batch execution.
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🧹 Manage household chores easily with ChoreBoard's fair task rotation and rewarding points system, turning chores into a fun and engaging experience.
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Automated NLP pipeline for news analysis with sentiment detection, topic modeling & summarization. Daily updates via GitHub Actions, 24/7 Streamlit dashboard on Railway.
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Go with your own intelligence - Go applications that directly integrate llama.cpp for local inference using hardware acceleration.
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Code of Paper: Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models
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AI pipelines for Omeka S digital collections - OCR correction, entity extraction, and text analysis
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An Agentic RAG demo that researches and drafts clinical trial protocols. Built with LangGraph and Streamlit to showcase multi-step AI orchestration, automated reviewing, and UI observability.
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largefile - MCP server that helps LLMs work with large files that exceed context limits. A must-have foundational MCP server.
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Track and check deprecation status of LLM provider models (OpenAI, Anthropic, etc.)
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Easy, flexible and powerful cloud-native Laravel CMS package powered by AI with JSON:API, GraphQL API, templates, and themes
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Poly-QL: AI-powered natural language to SQL/Spark/Pandas query engine with schema explorer, join path explorer, and multi-LLM provider support
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Lugayetu is a research and technology project focused on preserving Congolese low-resource languages and developing artificial intelligence tools for them. The platform collects textual and voice data from native speakers to build ai tools (translator...)
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🕵️♂️ Analyze and reverse engineer keyword filtering in large language models to enhance compliance and operational insights.
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The code necessary to run your own independent org messaging infrastructure
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