goRecommend VS ocrserver

Compare goRecommend vs ocrserver and see what are their differences.

goRecommend

Collaborative Filtering (CF) Algorithms in Go! (by timkaye11)

ocrserver

A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well (by otiai10)
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goRecommend ocrserver
- 2
203 631
- -
0.0 0.0
over 9 years ago over 2 years ago
Go Go
MIT License MIT 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.

goRecommend

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

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

ocrserver

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

What are some alternatives?

When comparing goRecommend and ocrserver you can also consider the following projects:

go-pr - Pattern recognition package in Go lang.

gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.

Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.

gobrain - Neural Networks written in go

gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

Varis - Golang Neural Network

tfgo - Tensorflow + Go, the gopher way

godist - Probability distributions and associated methods in Go

CloudForest - Ensembles of decision trees in go/golang.

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

libsvm - libsvm go version