fei-base VS tensor-safe

Compare fei-base vs tensor-safe and see what are their differences.

fei-base

Yet another wrapper of mxnet in Haskell (by pierric)
AI Fei
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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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fei-base tensor-safe
- -
3 101
- -
0.0 0.0
over 1 year 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.

fei-base

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

We haven't tracked posts mentioning fei-base 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 fei-base and tensor-safe you can also consider the following projects:

nn - A tiny neural network 🧠

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.

fei-nn - High level APIs for leaveraging neural networks with MXNet in Haskell

HSGEP - Haskell Gene Expression Programming Library

fei-examples

hasktorch - Tensors and neural networks in Haskell

fei-cocoapi

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

fei-dataiter - Data Loading API of mxnet in Haskell

GA - Haskell module for working with genetic algorithms

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

opencv - Haskell binding to OpenCV-3.x

fei-base vs nn tensor-safe vs moo fei-base vs fei-nn tensor-safe vs HSGEP fei-base vs fei-examples tensor-safe vs hasktorch fei-base vs fei-cocoapi tensor-safe vs cv-combinators fei-base vs fei-dataiter tensor-safe vs GA fei-base vs Etage tensor-safe vs opencv