This is the Windows app named distribution-is-all-you-need whose latest release can be downloaded as distribution-is-all-you-needsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
distribution-is-all-you-need
DESCRIPTION:
distribution-is-all-you-need is a Python-based probability tutorial aimed at deep learning researchers and students. It explains common discrete and continuous distributions through short scripts, formulas, descriptions, and plotted graphs. Covered topics include uniform, Bernoulli, binomial, categorical, multinomial, beta, Dirichlet, gamma, exponential, Gaussian, normal, chi-squared, and Student's t distributions. The material highlights relationships such as conjugate priors and special-case distributions. Examples connect probability functions with machine learning concepts including binary and multiclass cross-entropy. An overview image and presentation summarize the distribution families and their connections for quick reference.
Features
- Discrete probability distribution examples
- Continuous probability distribution examples
- Python scripts and plotted graphs
- Conjugate prior relationships
- Machine learning loss connections
- Visual distribution overview materials
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/dist-is-all-you-need.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.