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CatsMeow492/README.md
  • 👋 Hi, I’m Taylor (@CatsMeow492)
  • 👀 I’m interested in; data-science, machine learning and blockchain technology.
  • youngmohney.com

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  1. mlpipeline mlpipeline Public

    A comprehensive machine learning pipeline framework built with open source tools, designed for production-ready ML workflows with advanced error handling, drift detection, and few-shot learning cap…

    Python

  2. Significant-Gravitas/AutoGPT Significant-Gravitas/AutoGPT Public

    AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

    Python 177k 45.9k

  3. parameter-efficient-fine-tuning-of-large-models parameter-efficient-fine-tuning-of-large-models Public

    A research project investigating selective LoRA placement strategies for optimal efficiency-performance trade-offs in large language model fine-tuning.

    Python

  4. adaptive-lora-placement adaptive-lora-placement Public

    This repository presents a comprehensive empirical study of adaptive rank allocation in LoRA (Low-Rank Adaptation) for parameter-efficient fine-tuning. We investigate whether varying LoRA rank per …

    Python

  5. llm-quantization-bounds llm-quantization-bounds Public

    This repository contains the implementation and experimental validation of "Quantization Bounds in LoRA Fine-tuning: Theoretical Analysis and Empirical Validation" - a comprehensive theoretical ana…

    Python

  6. adaptive-lora-rank-allocation adaptive-lora-rank-allocation Public

    This repository contains the experimental code for investigating whether jointly optimizing LoRA rank allocation and mixed-precision quantization yields better efficiency-performance trade-offs tha…

    Python