Popularity
2.9
Stable
Activity
0.0
Stable
57
4
3
Description
EAGO is a simple framework for evolutionary computation (EC) in Go. You can use this framework to run any kind of EC experiment, simply by two steps: configure and run.
Programming language: Go
EAGO alternatives and similar packages
Based on the "Machine Learning" category.
Alternatively, view EAGO alternatives based on common mentions on social networks and blogs.
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Gorgonia
Gorgonia is a library that helps facilitate machine learning in Go. -
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 -
gosseract
Go package for OCR (Optical Character Recognition), by using Tesseract C++ library -
gago
:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution) -
ocrserver
A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well -
onnx-go
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library. -
shield
Bayesian text classifier with flexible tokenizers and storage backends for Go -
neat
Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT). -
neural-go
A multilayer perceptron network implemented in Go, with training via backpropagation. -
go-featureprocessing
🔥 Fast, simple sklearn-like feature processing for Go -
go-cluster
k-modes and k-prototypes clustering algorithms implementation in Go
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