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scrambledpie/README.md

  • 👋 Hi, I’m Michael Pearce (@scrambledpie)

  • 👀 I’m interested in Bayesian Optimization and machine learning in general.

  • feel free to visit ✨ My personal website ✨ for past projects

  • and my email address is scrambledpie@gmail.com

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  1. GPVAE GPVAE Public

    Train and visualise a latent variable model of moving objects.

    Python 14

  2. autograd_from_scratch autograd_from_scratch Public

    Casual for fun implementation of autograd in numpy, train an MLP in MNIST, for learning/teaching purposes

    Python 3

  3. CRN CRN Public

    Bayesian Otpimisation allowing for Common Random Numbers

    R 3 1

  4. toyGPT toyGPT Public

    A small toy GPT model implemented in JAX from scratch

    Python 2

  5. Diffusion_pytorch_from_scratch Diffusion_pytorch_from_scratch Public

    Diffusion image generator in Pytorch, generate brand new celebrity faces

    Python

  6. Conditional-Multi-Task-BayesOpt Conditional-Multi-Task-BayesOpt Public

    Toy code for reproducing experiments from the paper "Continuous Multi-Task Bayesian Optimization with Correlation"

    R