Skip to content
View MichaelMMeskhi's full-sized avatar
:bowtie:
Computing Gradients
:bowtie:
Computing Gradients
  • Houston, United States

Block or report MichaelMMeskhi

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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.

Pinned Loading

  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