keera-posture VS tensor-safe

Compare keera-posture vs tensor-safe and see what are their differences.

keera-posture

Alleviate your back pain using Haskell and a webcam (by keera-studios)
AI Haskell Rsi Pain back-pain Health Healthcare OpenCV Camera Multimedia
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tensor-safe

A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras. (by leopiney)
AI Deep Learning haskell-library Dependent Types Functional programming Haskell Machine Learning
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keera-posture tensor-safe
- -
50 101
- -
4.7 0.0
over 3 years ago over 1 year ago
Haskell Haskell
LicenseRef-OtherLicense 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.

keera-posture

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

We haven't tracked posts mentioning keera-posture yet.
Tracking mentions began in Dec 2020.

tensor-safe

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

We haven't tracked posts mentioning tensor-safe yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing keera-posture and tensor-safe you can also consider the following projects:

hnn - haskell neural network library

moo - Genetic algorithm library for Haskell. Binary and continuous (real-coded) GAs. Binary GAs: binary and Gray encoding; point mutation; one-point, two-point, and uniform crossover. Continuous GAs: Gaussian mutation; BLX-α, UNDX, and SBX crossover. Selection operators: roulette, tournament, and stochastic universal sampling (SUS); with optional niching, ranking, and scaling. Replacement strategies: generational with elitism and steady state. Constrained optimization: random constrained initialization, death penalty, constrained selection without a penalty function. Multi-objective optimization: NSGA-II and constrained NSGA-II.

finito - A constraint solver for finite domains, written in Haskell.

HSGEP - Haskell Gene Expression Programming Library

cv-combinators - Functional Combinators for Computer Vision, currently using OpenCV as a backend

hasktorch - Tensors and neural networks in Haskell

Etage - A general data-flow framework featuring nondeterminism, laziness and neurological pseudo-terminology.

GA - Haskell module for working with genetic algorithms

hmep - Haskell Multi Expression Programming implemented with the focus on speed

opencv - Haskell binding to OpenCV-3.x

keera-posture vs hnn tensor-safe vs moo keera-posture vs finito tensor-safe vs HSGEP keera-posture vs cv-combinators tensor-safe vs hasktorch keera-posture vs Etage tensor-safe vs cv-combinators keera-posture vs HSGEP tensor-safe vs GA keera-posture vs hmep tensor-safe vs opencv