Distributions.jl VS avm

Compare Distributions.jl vs avm and see what are their differences.

Distributions.jl

A Julia package for probability distributions and associated functions. (by JuliaStats)

avm

Efficient and expressive arrayed vector math library with multi-threading and CUDA support in Common Lisp. (by takagi)
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Distributions.jl avm
6 2
1,062 53
0.8% -
7.6 0.0
26 days ago over 2 years ago
Julia Common Lisp
GNU General Public License v3.0 or later -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Distributions.jl

Posts with mentions or reviews of Distributions.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-22.

avm

Posts with mentions or reviews of avm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-16.

What are some alternatives?

When comparing Distributions.jl and avm you can also consider the following projects:

MLJ.jl - A Julia machine learning framework

HypothesisTests.jl - Hypothesis tests for Julia

Optimization.jl - Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

Lux.jl - Explicitly Parameterized Neural Networks in Julia

StatsBase.jl - Basic statistics for Julia

polisher - Infix notation to S-expression (Polish notation) translator for Common Lisp

physical-quantities - A common lisp library that provides a numeric type with optional unit and/or uncertainty for computations with automatic error propagation.

Petalisp - Elegant High Performance Computing

StaticLint.jl - Static Code Analysis for Julia

common-lisp-stat - Common Lisp Statistics -- based on LispStat (Tierney) but updated for Common Lisp and incorporating lessons from R (http://www.r-project.org/). See the google group for lisp stat / common lisp statistics for a mailing list.