libsvm alternatives and similar packages

Based on the "Machine Learning" category.
Alternatively, view libsvm alternatives based on common mentions on social networks and blogs.

GoLearn

9.6 0.0 libsvm VS GoLearn

Machine Learning for Go
gorse

9.4 8.4 libsvm VS gorse

An open source recommender system service written in Go

Access the most powerful time series database as a service

Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

Promo www.influxdata.com

Gorgonia

9.2 4.6 libsvm VS Gorgonia

Gorgonia is a library that helps facilitate machine learning in Go.
m2cgen

8.5 6.2 libsvm VS 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
tfgo

8.3 4.5 libsvm VS tfgo

Tensorflow + Go, the gopher way
gosseract

8.3 1.0 libsvm VS gosseract

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

8.0 0.0 libsvm VS goml

On-line Machine Learning in Go (and so much more)
envd

7.9 9.6 libsvm VS envd

🏕️ Reproducible development environment for AI/ML
gago

7.3 0.7 libsvm VS gago

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

7.3 0.0 libsvm VS bayesian

Naive Bayesian Classification for Golang.
CloudForest

7.2 0.0 libsvm VS CloudForest

Ensembles of decision trees in go/golang.
ocrserver

7.0 0.0 libsvm VS ocrserver

A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well
gobrain

6.8 0.0 libsvm VS gobrain

Neural Networks written in go
onnx-go

6.6 0.0 libsvm VS onnx-go

onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
go-deep

6.4 0.0 libsvm VS go-deep

Artificial Neural Network
sklearn

6.1 0.0 libsvm VS sklearn

bits of sklearn ported to Go #golang
regommend

5.9 0.0 libsvm VS regommend

Recommendation engine for Go
go-galib

5.6 0.0 libsvm VS go-galib

Genetic Algorithms library written in Go / golang
Goptuna

5.4 1.0 libsvm VS Goptuna

A hyperparameter optimization framework, inspired by Optuna.
goRecommend

5.3 0.0 libsvm VS goRecommend

Collaborative Filtering (CF) Algorithms in Go!
shield

5.2 0.0 libsvm VS shield

Bayesian text classifier with flexible tokenizers and storage backends for Go
goga

5.2 0.0 libsvm VS goga

Golang Genetic Algorithm
go-fann

4.7 0.0 libsvm VS go-fann

Go bindings for FANN, library for artificial neural networks
goscore

4.5 0.0 libsvm VS goscore

Go Scoring API for PMML
neat

4.2 0.0 libsvm VS neat

Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT).
fonet

4.1 0.0 libsvm VS fonet

fonet is a deep neural network package for Go.
go-pr

3.9 0.0 libsvm VS go-pr

Pattern recognition package in Go lang.
go-featureprocessing

3.9 0.0 libsvm VS go-featureprocessing

🔥 Fast, simple sklearn-like feature processing for Go
neural-go

3.8 0.0 libsvm VS neural-go

A multilayer perceptron network implemented in Go, with training via backpropagation.
NEUGO

3.8 0.0 libsvm VS NEUGO

NEUGO: Neural Networks in Go
Varis

3.4 0.0 libsvm VS Varis

Golang Neural Network
golinear

3.4 0.0 libsvm VS golinear

liblinear bindings for Go
GoMind

3.3 0.0 libsvm VS GoMind

A simplistic Neural Network Library in Go
go-cluster

3.2 0.0 libsvm VS go-cluster

k-modes and k-prototypes clustering algorithms implementation in Go
evoli

2.9 0.0 libsvm VS evoli

Genetic Algorithm and Particle Swarm Optimization
EAGO

2.9 0.0 libsvm VS EAGO

EAGO: Evolutionary Algorithms in Go
godist

2.8 0.0 libsvm VS godist

Probability distributions and associated methods in Go
randomforest

2.6 0.0 libsvm VS randomforest

Random Forest implementation in golang
ddt

2.1 0.0 libsvm VS ddt

Golang Dynamic Decision Tree
probab

2.1 0.0 libsvm VS probab

Automatically exported from code.google.com/p/probab
mlgo

1.0 0.0 libsvm VS mlgo

Automatically exported from code.google.com/p/mlgo