About the Commonplace

This repo holds both my commonplace book and some of the notes I've been taking for different independent learning projects this year (late 2020 up to now). Friends and colleagues liked the resources and convinced me to make them public.

Programming

Artificial Intelligence (AI)

  1. Artificial Intelligence & Deep Learning

    • Transformers

    • Deep Reinforcement Learning

    • Generative Adversarial Networks (GANs)

    • Bioinformatics

  2. Code

    • Python

    • Web Development

    • Git

    • Algorithms

    • Java, C++

    • Misc.

  3. Practical Reference: Metalearning, Ultralearning,

  4. Journal

    • Quotes

    • Random

Notes from 2021 [PDF]:

  • Transformer architectures, performers, deep reinforcement learning, and evolutionary algorithms to solve non-differentiable problems

  • Fundamentals in measure theory, stochastic processes, stochastic simulation, hidden markov models, and stochastic calculus

  • Analytical solutions to partial differential equations

References

All reference sources that are not included in-line can be found at the end of each section.

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