Showing 8 open source projects for "network graph analysis"

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  • 1
    AI Powered Knowledge Graph Generator

    AI Powered Knowledge Graph Generator

    AI Powered Knowledge Graph Generator

    AI-Powered Knowledge Graph is an open-source project focused on building knowledge graph systems that integrate artificial intelligence and machine learning to represent complex relationships between data entities. Knowledge graphs organize information as networks of nodes and relationships, allowing applications to analyze connections between concepts, datasets, or real-world entities. By incorporating AI techniques such as natural language processing and semantic reasoning, the project...
    Downloads: 2 This Week
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  • 2
    Torch Pruning

    Torch Pruning

    DepGraph: Towards Any Structural Pruning

    ...The library focuses on reducing the size and computational cost of neural networks by removing redundant parameters and channels while maintaining model performance. It introduces a graph-based algorithm called DepGraph that automatically identifies dependencies between layers, allowing parameters to be pruned safely across complex architectures. This dependency analysis makes it possible to prune large networks such as transformers, convolutional networks, and diffusion models without breaking the computational graph.
    Downloads: 0 This Week
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  • 3
    Aix-DB

    Aix-DB

    Based on the LangChain/LangGraph framework

    ...Its architecture includes multiple layers such as a web interface, API gateway, AI service layer, and data storage layer that support relational databases, vector stores, graph databases, and file systems.
    Downloads: 0 This Week
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  • 4
    Agents 2.0

    Agents 2.0

    An Open-source Framework for Data-centric Language Agents

    Agents is an open-source framework designed to build and train autonomous language agents through a data-centric and learning-oriented architecture. The project introduces a concept known as agent symbolic learning, which treats an agent pipeline similarly to a neural network computational graph. In this framework, each node in the pipeline represents a step in the reasoning or action process, while prompts and tools act as adjustable parameters analogous to neural network weights. During training, the system performs a forward execution where the agent completes a task and records the trajectory of prompts, outputs, and tool usage. ...
    Downloads: 2 This Week
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  • 5
    Anomaly Detection Learning Resources

    Anomaly Detection Learning Resources

    Anomaly detection related books, papers, videos, and toolboxes

    ...It includes materials covering a wide range of anomaly detection domains, including time series data, graph data, tabular datasets, and real-time monitoring systems. By compiling resources from multiple programming ecosystems such as Python, R, and other machine learning platforms, the repository allows users to discover both research papers and practical implementations.
    Downloads: 1 This Week
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  • 6
    Integuru v0

    Integuru v0

    The first AI agent that builds permissionless integrations

    Integuru is an open-source AI agent designed to automatically create integrations between software platforms by reverse-engineering their internal APIs. Instead of relying on official developer documentation or publicly available APIs, the system analyzes network traffic generated by user interactions within a web application. Developers capture browser requests and authentication data, which the agent then uses to infer the structure of the platform’s internal API endpoints. Based on this...
    Downloads: 0 This Week
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  • 7
    NativeMind Extension

    NativeMind Extension

    Your fully private, open-source, on-device AI assistant

    ...Because it runs locally after setup, it is also positioned as an always-available assistant that avoids API quotas, network latency, and service outages common in cloud-based AI tools.
    Downloads: 0 This Week
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  • 8
    LLMCompiler

    LLMCompiler

    An LLM Compiler for Parallel Function Calling

    LLMCompiler is an open-source framework designed to optimize how large language models orchestrate multiple external tool or function calls during complex reasoning tasks. Traditional LLM agent systems typically execute tool calls sequentially, which can create latency, higher costs, and reduced reliability when solving multi-step problems. LLMCompiler addresses this limitation by applying principles from classical compilers to analyze a task and construct an execution plan that allows...
    Downloads: 0 This Week
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