svm-simple VS tensor-safe

Compare svm-simple vs tensor-safe and see what are their differences.

svm-simple

Simplified interface to bindings-svm (by aleator)
AI Svm
Source Code
Suggest alternative
Edit details

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
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
svm-simple tensor-safe
- -
6 101
- -
0.0 0.0
over 7 years ago over 1 year 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.

svm-simple

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

We haven't tracked posts mentioning svm-simple 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 svm-simple 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.

SimpleEA - A simple evolutionary algorithm framework for Haskell

HSGEP - Haskell Gene Expression Programming Library

heukarya - genetic programming in haskell

hasktorch - Tensors and neural networks in Haskell

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

svm - A support vector machine implemented in Haskell.

GA - Haskell module for working with genetic algorithms

neet - Neuroevolution of Augmented Topologies (NEAT) -- in Haskell

opencv - Haskell binding to OpenCV-3.x

svm-simple vs hnn tensor-safe vs moo svm-simple vs SimpleEA tensor-safe vs HSGEP svm-simple vs heukarya tensor-safe vs hasktorch svm-simple vs moo tensor-safe vs cv-combinators svm-simple vs svm tensor-safe vs GA svm-simple vs neet tensor-safe vs opencv