uncertain VS regress

Compare uncertain vs regress and see what are their differences.

uncertain

Manipulating numbers with inherent measurement/experimental uncertainty. (by mstksg)

regress

Linear and logistic regression through automatic differentiation (by alpmestan)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
uncertain regress
- -
25 8
- -
0.0 0.0
almost 5 years ago over 5 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
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.

uncertain

Posts with mentions or reviews of uncertain. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning uncertain yet.
Tracking mentions began in Dec 2020.

regress

Posts with mentions or reviews of regress. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning regress yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing uncertain and regress you can also consider the following projects:

units - The home of the units Haskell package

simple-smt

cf - "Exact" real arithmetic for Haskell using continued fractions (Not formally proven correct)

hgeometry - HGeometry is a library for computing with geometric objects in Haskell. It defines basic geometric types and primitives, and it implements some geometric data structures and algorithms. The main two focusses are: (1) Strong type safety, and (2) implementations of geometric algorithms and data structures that have good asymptotic running time guarantees.

search - infinite search in finite time with Hilbert's epsilon

nats - Haskell 98 Natural Numbers

nimber - Finite nimber arithmetic

levmar - An implementation of the Levenberg-Marquardt algorithm

vector - An efficient implementation of Int-indexed arrays (both mutable and immutable), with a powerful loop optimisation framework .

hmatrix - Linear algebra and numerical computation

vector-th-unbox - Deriver for unboxed vectors using Template Haskell