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@xaiqo

xaiQo

README.md

Inference Optimization • Reinforcement Learning (RL) • Multi-Agent Systems (MARL) • Neural Approximation • Algorithmic Substitution • Custom RL Environments • Autonomous Compute • High-Performance AI

About Us

We specialize in pushing the boundaries of artificial intelligence efficiency and autonomous decision-making. Our research and development focus on:

  • Inference Optimization: Streamlining AI models for maximal computational efficiency.
  • RL & MARL: Building custom environments and advancing Multi-Agent Reinforcement Learning.
  • Neural Approximation: Replacing or approximating complex, classical mathematical algorithms with highly efficient neural network architectures.

Popular repositories Loading

  1. llvm-ir-graph-embedding llvm-ir-graph-embedding Public

    A hpc LLVM Pass extracting semantic Control-Data Flow Graphs (CDFG) from Intermediate Representation for Graph Neural Networks. Enables cross-language code retrieval and clone detection beyond toke…

    Python 1

  2. .github .github Public

  3. AIFlow AIFlow Public

    A framework for end-to-end AI inference optimization: from model parsing and graph IR, through graph and kernel optimizations, to hardware profiling, auto-tuning, and visualization.

    Python

  4. IncidentPrediction IncidentPrediction Public

    Predict whether a service incident will occur within the next **H** time steps given the previous **W** steps of multivariate server metrics, using a stacked-ensemble sliding-window classifier.

    Python

  5. NetForge_RL NetForge_RL Public

    Multi-Agent Reinforcement Learning (MARL) cybersecurity simulator

    Python

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