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πŸ˜ƒ
frantically tuning hyper-parameters
πŸ˜ƒ
frantically tuning hyper-parameters

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gil2rok/README.md

Hi there πŸ‘‹. I'm Gilad Turok.

Python PyTorch scikit-learn NumPy

I like:

  • probabilistic machine learning (variational inference, Markov chain Monte Carlo)
  • generative models (diffusion, normalizing flows)
  • better understanding deep learning (via generalization, scaling, efficency)

I also like open source code, hacking on things, and adventure.

πŸŽ“ Columbia University, Applied Math

🌎 New York, NY

Pinned Loading

  1. flatironinstitute/bayes-kit flatironinstitute/bayes-kit Public

    Bayesian inference and posterior analysis for Python

    Python 41 3

  2. drghmc drghmc Public

    Forked from flatironinstitute/bayes-kit

    [NeurIPS 2024] Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo.

    Jupyter Notebook 2