Hello there
I read [pattern recognition and machine learning, Bishop 2006] and summarize the probability distributions that are often used in deep learning in my Github Repository

Also I simply had implemented probability distributions with python numpy.

1. Uniform distribution(continuous)
2. Bernoulli distribution
3. Binomial distribution
4. Multi-Bernoulli distribution
5. Multinomial distribution
6. Beta distribution
7. Dirichlet distribution
8. Gamma distribution
9. Exponential distribution
10. Gaussian distribution
11. Normal distribution
12. Chi-squared distribution
13. Student-t distribution

Please give issue if there are some wrong point Thanks 😀

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https://github.com/graykode/distribution-is-all-you-need

https://i.redd.it/xuo9d3lda5l31.png

https://github.com/graykode/distribution-is-all-you-need