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)
Artificial Intelligence & Deep Learning
Transformers
Deep Reinforcement Learning
Generative Adversarial Networks (GANs)
Bioinformatics
Code
Python
Web Development
Git
Algorithms
Java, C++
Misc.
Practical Reference: Metalearning, Ultralearning,
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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