Deep Learning

  1. 03

    Understand Transformer Paper Through Implementation, a detailed implementation of binary classification using transformer encoder

  2. 02

    Clean Implementation of Normalizing Flow Using PyTorch, A step-by-step tutorial to implement normalizing flow in PyTorch

  3. 01

    Generative Adversarial Network with Bells and Whistle, Dissecting GAN paper and it's implementation

$g$ = ← prime number, $p$ = ← prime number
($g$, $p$ are not secret)
Patrick
$a$ = ← integer

$A$ $= g^a \mod{p}=$

$K =$ $B^a$ $\mod{p} =$
Spongebob
$b$ = ← integer

$K =$ $A^b$ $\mod{p} =$

$B$ $= g^b \mod{p} =$
$K$ is the secret key

(in practice, very large numbers are used. then it is almost impossible to calculate $K$ given $g, p, A$ and $B$))

Cryptography

Probability Theory

  1. 02

    Transforming Simple Distribution with Normalizing Flow, build up theoritical understanding of normalizing flow model

  2. 01

    Inverse Transform Method, proof of inverse transform theorem

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