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Computing Gradients
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Computing Gradients

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

Bio: Ph.D. student at the University Of Houston working on 
learning to learn problems such as meta-learning,
data distillation, knowledge representation,
and explainable AI. 🔭 I’m currently working on: - Optimizing some non-linear binary programming code I wrote. - Working on analyzing information captured by meta-features. - Drafting 2 papers for JMLR and NeurIPS. - Spatial entropy in machine learning. 🌱 I’m currently learning: - Learning more math. - Practicing good coding habits. ⚡ Hot take: - Jax is a better framework than PyTorch.

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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 147 86

  5. TransferLRP TransferLRP Public

    Transfer Explainability via Layer-Wise Relevance Propagation Demo for AAAI

    Python 5