Probability distribution functions. Bayesian inference. Written in pure Go.

probab alternatives and similar packages

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

• GoLearn

  9.7 5.9 probab VS GoLearn

  General Machine Learning library for Go.

• Gorgonia

  9.2 8.2 probab VS Gorgonia

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

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• tfgo

  8.3 5.6 probab VS tfgo

  Easy to use Tensorflow bindings: simplifies the usage of the official Tensorflow Go bindings. Define computational graphs in Go, load and execute models trained in Python.

• gosseract

  8.1 5.3 probab VS gosseract

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

• goml

  7.9 0.0 probab VS goml

  On-line Machine Learning in Go

• gorse

  7.8 4.9 probab VS gorse

  A High Performance Recommender System Package based on Collaborative Filtering for Go.

• CloudForest

  7.4 0.0 probab VS CloudForest

  Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.

• bayesian

  7.4 0.0 probab VS bayesian

  Naive Bayesian Classification for Golang.

• gago

  7.3 3.7 probab VS gago

  Multi-population, flexible, parallel genetic algorithm.

• gobrain

  6.8 2.1 probab VS gobrain

  Neural Networks written in go

• ocrserver

  6.6 0.3 probab VS ocrserver

  A simple OCR API server, seriously easy to be deployed by Docker and Heroku.

• go-deep

  6.1 0.0 probab VS go-deep

  A feature-rich neural network library in Go.

• onnx-go

  6.1 1.3 probab VS onnx-go

  Go Interface to Open Neural Network Exchange (ONNX).

• sklearn

  6.0 0.8 probab VS sklearn

  partial port of scikit_learn to golang

• regommend

  6.0 0.0 probab VS regommend

  Recommendation & collaborative filtering engine

• go-galib

  5.7 0.0 probab VS go-galib

  Genetic Algorithms library written in Go / golang

• goRecommend

  5.3 0.0 probab VS goRecommend

  Recommendation Algorithms library written in Go.

• shield

  5.2 0.0 probab VS shield

  Bayesian text classifier with flexible tokenizers and storage backends for Go

• Goptuna

  5.1 8.9 probab VS Goptuna

  Bayesian optimization framework for black-box functions written in Go. Everything will be optimized.

• go-fann

  4.8 0.0 probab VS go-fann

  Go bindings for Fast Artificial Neural Networks(FANN) library.

• goga

  4.5 0.0 probab VS goga

  Genetic algorithm library for Go.

• libsvm

  4.2 0.0 probab VS libsvm

  libsvm golang version derived work based on LIBSVM 3.14.

• neat

  4.2 0.0 probab VS neat

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

• goscore

  4.2 0.0 probab VS goscore

  Go Scoring API for PMML.

• go-pr

  3.9 0.0 probab VS go-pr

  Pattern recognition package in Go lang.

• neural-go

  3.9 0.0 probab VS neural-go

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

• NEUGO

  3.8 0.0 probab VS NEUGO

  NEUGO: Neural Networks in Go

• golinear

  3.5 0.0 probab VS golinear

  liblinear bindings for Go

• fonet

  3.3 0.0 probab VS fonet

  A Deep Neural Network library written in Go.

• Varis

  3.1 0.0 probab VS Varis

  Golang Neural Network.

• go-featureprocessing

  3.1 5.2 probab VS go-featureprocessing

  Fast and convenient feature processing for low latency machine leraning in Go.

• EAGO

  2.9 0.0 probab VS EAGO

  EAGO: Evolutionary Algorithms in Go

• go-cluster

  2.9 0.0 probab VS go-cluster

  Go implementation of the k-modes and k-prototypes clustering algorithms.

• godist

  2.6 0.0 probab VS godist

  Various probability distributions, and associated methods.

• evoli

  2.3 2.4 probab VS evoli

  Genetic Algorithm and Particle Swarm Optimization library.

• GoMind

  1.5 0.0 probab VS GoMind

  A simplistic Neural Network Library in Go.

• randomforest

  1.4 0.0 probab VS randomforest

  Easy to use Random Forest library for Go.

• mlgo

  1.0 0.0 probab VS mlgo

  This project aims to provide minimalistic machine learning algorithms in Go.

• ddt

  0.7 5.8 probab VS ddt

  Dynamic decision tree, create trees defining customizable rules.

Do you think we are missing an alternative of probab or a related project?

Popular Comparisons

• probab
  vs
  GoLearn
• probab
  vs
  Gorgonia
• probab
  vs
  go-pr
• probab
  vs
  go-galib
• probab
  vs
  go-fann

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