Machine Learning libraries for Go Lang - Linear regression, Logistic regression, etc.

package ml - Machine Learning Libraries

###import "github.com/alonsovidales/go_ml"

GoDoc

Package ml provides some implementations of usefull machine learning algorithms for data mining and data analysis.

The implemented algorithms are:

- Linear Regression
- Logistic Regression
- Neural Networks
- Collaborative Filtering
- Gaussian Multivariate Distribution for anomaly detection systems

Is implemented too the fmincg function in order to calculate the optimal theta configuration to reduce the cost value for all the implemented solutions.

Author: Alonso Vidales [email protected]

Use of this source code is governed by a BSD-style. These programs and documents are distributed without any warranty, express or implied. All use of these programs is entirely at the user's own risk.

For further information about this libraries, please visit the online documentation on: http://godoc.org/github.com/alonsovidales/go_ml

Owner
Alonso Vidales
Alonso Vidales
https://github.com/alonsovidales/go_ml
Similar Resources

Self-contained Machine Learning and Natural Language Processing library in Go

Self-contained Machine Learning and Natural Language Processing library in Go

Self-contained Machine Learning and Natural Language Processing library in Go

Jan 8, 2023

Fast (linear time) implementation of the Gaussian Blur algorithm in Go.

Fast (linear time) implementation of the Gaussian Blur algorithm in Go.

Song2 Fast (linear time) implementation of the Gaussian Blur algorithm in Go.

Oct 25, 2022

A curated list of Awesome Go performance libraries and tools

Awesome Go performance Collection of the Awesome™ Go libraries, tools, project around performance. Contents Algorithm Assembly Benchmarks Compiling Co

Jan 3, 2023

Reinforcement Learning in Go

Reinforcement Learning in Go

Overview Gold is a reinforcement learning library for Go. It provides a set of agents that can be used to solve challenges in various environments. Th

Dec 11, 2022

Spice.ai is an open source, portable runtime for training and using deep learning on time series data.

Spice.ai is an open source, portable runtime for training and using deep learning on time series data.

Spice.ai Spice.ai is an open source, portable runtime for training and using deep learning on time series data. ⚠️ DEVELOPER PREVIEW ONLY Spice.ai is

Dec 15, 2022

FlyML perfomant real time mashine learning libraryes in Go

FlyML perfomant real time mashine learning libraryes in Go simple & perfomant logistic regression (~100 LoC) Status: WIP! Validated on mushrooms datas

May 30, 2022

Go (Golang) encrypted deep learning library; Fully homomorphic encryption over neural network graphs

DC DarkLantern A lantern is a portable case that protects light, A dark lantern is one who's light can be hidden at will. DC DarkLantern is a golang i

Oct 31, 2022

This is a tool to interact with Apigee APIs. The tool lets you manage (create, del, get, list) environments, proxies, etc.

apigeecli This is a tool to interact with Apigee APIs for Apigee hybrid and Apigee's managed offering. The tool lets you manage (Create,Get, List, Upd

Dec 3, 2022

A tool for building identical machine images for multiple platforms from a single source configuration

A tool for building identical machine images for multiple platforms from a single source configuration

Packer Packer is a tool for building identical machine images for multiple platforms from a single source configuration. Packer is lightweight, runs o

Oct 3, 2021
Comments
  • What is the license applied to this repo?

    What is the license applied to this repo?

    I cannot find what license applies to this repository; if you haven't thought about it, could you think and add it? otherwise, can you make it more visible?

    Thanks.

  • Bias should be brought into result

    Bias should be brought into result

    func (rg *Regression) LinearHipotesis(x []float64) (r float64) { for i := 0; i < len(x); i++ { r += x[i] * rg.Theta[i] } return } There should be a bias variables added into result.

  • Fix broken headings in Markdown files

    Fix broken headings in Markdown files

    GitHub changed the way Markdown headings are parsed, so this change fixes it.

    See bryant1410/readmesfix for more information.

    Tackles bryant1410/readmesfix#1

  • Hipotesis -> Hypothesis

    Hipotesis -> Hypothesis

    Hypothesis is spelled out Hypothesis in english, not Hipotesis:

    https://godoc.org/github.com/alonsovidales/go_ml#Regression.LinearHipotesis https://godoc.org/github.com/alonsovidales/go_ml#Regression.LogisticHipotesis

    -s

Related tags
Machine Learning go_ml
On-line Machine Learning in Go (and so much more)

goml Golang Machine Learning, On The Wire goml is a machine learning library written entirely in Golang which lets the average developer include machi

Jan 5, 2023
Gorgonia is a library that helps facilitate machine learning in Go.
 Gorgonia is a library that helps facilitate machine learning in Go.

Gorgonia is a library that helps facilitate machine learning in Go. Write and evaluate mathematical equations involving multidimensional arrays easily

Dec 30, 2022
Gorgonia is a library that helps facilitate machine learning in Go.
 Gorgonia is a library that helps facilitate machine learning in Go.

Gorgonia is a library that helps facilitate machine learning in Go. Write and evaluate mathematical equations involving multidimensional arrays easily

Dec 27, 2022
Prophecis is a one-stop machine learning platform developed by WeBank
 Prophecis is a one-stop machine learning platform developed by WeBank

Prophecis is a one-stop machine learning platform developed by WeBank. It integrates multiple open-source machine learning frameworks, has the multi tenant management capability of machine learning compute cluster, and provides full stack container deployment and management services for production environment.

Dec 28, 2022
Go Machine Learning Benchmarks
 Go Machine Learning Benchmarks

Benchmarks of machine learning inference for Go

Dec 30, 2022
Deploy, manage, and scale machine learning models in production
 Deploy, manage, and scale machine learning models in production

Deploy, manage, and scale machine learning models in production. Cortex is a cloud native model serving platform for machine learning engineering teams.

Dec 30, 2022
A High-level Machine Learning Library for Go
 A High-level Machine Learning Library for Go

Overview Goro is a high-level machine learning library for Go built on Gorgonia. It aims to have the same feel as Keras. Usage import ( . "github.

Nov 20, 2022
Standard machine learning models

Cog: Standard machine learning models Define your models in a standard format, store them in a central place, run them anywhere. Standard interface fo

Jan 9, 2023
Katib is a Kubernetes-native project for automated machine learning (AutoML).
 Katib is a Kubernetes-native project for automated machine learning (AutoML).

Katib is a Kubernetes-native project for automated machine learning (AutoML). Katib supports Hyperparameter Tuning, Early Stopping and Neural Architec

Jan 2, 2023
PaddleDTX is a solution that focused on distributed machine learning technology based on decentralized storage.
 PaddleDTX is a solution that focused on distributed machine learning technology based on decentralized storage.

中文 | English PaddleDTX PaddleDTX is a solution that focused on distributed machine learning technology based on decentralized storage. It solves the d

Dec 14, 2022