graykode/distribution-is-all-you-need
A Python tutorial demonstrating common probability distributions with focus on deep learning applications.
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This repository provides a practical tutorial on probability distributions for deep learning researchers. It covers discrete and continuous distributions including Uniform, Bernoulli, Binomial, Poisson, Exponential, Gaussian, and Beta, with Python implementations and visualizations. The material explains how distributions relate to ML concepts like binary cross entropy and conjugate priors in Bayesian inference.
Frequently asked
- What is graykode/distribution-is-all-you-need?
- A Python tutorial demonstrating common probability distributions with focus on deep learning applications.
- Is distribution-is-all-you-need open source?
- Yes — graykode/distribution-is-all-you-need is open source, released under the MIT license.
- What language is distribution-is-all-you-need written in?
- graykode/distribution-is-all-you-need is primarily written in Python.
- How popular is distribution-is-all-you-need?
- graykode/distribution-is-all-you-need has 1.6k stars on GitHub.
- Where can I find distribution-is-all-you-need?
- graykode/distribution-is-all-you-need is on GitHub at https://github.com/graykode/distribution-is-all-you-need.