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Computing Gradients
:shipit:
Computing Gradients
  • Oxy
  • Houston, United States

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michaelmmeskhi/README.md
                                      
~ $ whoami
Login: michaelmm                           Name: Michael M. Meskhi
Directory: /home/michaelmm                 Shell: /usr/bin/zsh

Bio: AI Engineer at Occidental Petroleum with a Ph.D. in Computer Science (2024). 
Previously focused on meta-learning, data distillation, knowledge representation,
and explainable AI. Currently working on: - Building multi-agent platform using AWS AgentCore and AWS services - Optimizing technical skills and engineering practices Currently learning: - AWS AgentCore and building end-to-end enterprise-grade multi-agentic platforms - Cloud-native architectures and distributed systems at scale Hot take: - Agents are just for loops with extra steps and a fat AWS bill

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  1. meta-learning-progress meta-learning-progress Public

    Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

    CSS 26 4

  2. PAL-UH/transferAL PAL-UH/transferAL Public

    Domain Adaptation by Transferring Model-Complexity Priors Across Tasks Paper Experiments

    MATLAB 3 1

  3. dainis-boumber/complexity dainis-boumber/complexity Public

    Complexity estimation project

    Python 1 1

  4. carbonblack/cbapi-python carbonblack/cbapi-python Public

    Carbon Black API - Python language bindings

    Python 145 87

  5. TransferLRP TransferLRP Public

    Transfer Explainability via Layer-Wise Relevance Propagation Demo for AAAI

    Python 5