arboreal VS tfgo

Compare arboreal vs tfgo and see what are their differences.

arboreal

pure Go library for gradient boosted decision trees (by stillmatic)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
arboreal tfgo
1 6
6 2,374
- -
1.0 1.5
4 days ago about 1 month ago
Go Go
GNU General Public License v3.0 or later Apache License 2.0
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.

arboreal

Posts with mentions or reviews of arboreal. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-27.
  • Show HN: Carton – Run any ML model from any programming language
    4 projects | news.ycombinator.com | 27 Sep 2023
    We used Triton Inference Server (with a Golang sidecar to translate requests) for model serving and a separate Go app that handled receiving the request, fetching features, sending to Triton, doing other stuff with the response, serving. This scaled to 100k QPS with pretty good performance but does require some hops.

    In general writing pure Go inference libraries sucks. Not easy to do array/vector manipulation, not easy to do SIMD/CUDA acceleration, cgo is not go, etc. I wrote a fast XGBoost library at least (https://github.com/stillmatic/arboreal) - it's on par with C implementations, but doing anything more complex is going to be tricky.

tfgo

Posts with mentions or reviews of tfgo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-27.
  • Show HN: Carton – Run any ML model from any programming language
    4 projects | news.ycombinator.com | 27 Sep 2023
    eh, awesome! Seems this one, right? https://github.com/galeone/tfgo. Quite many stars.
  • Introducing GoFaceRec: A Go-based Face Recognition Tool Using Deep Learning
    2 projects | /r/golang | 1 Jul 2023
    I'm excited to share a project I've been working on: [GoFaceRec](https://github.com/modanesh/GoFaceRec). This is a face recognition tool built in Go, leveraging the power of MTCNN for face detection and QMagFace for face recognition. The project was born out of a desire to bring the power of deep learning models to the Go community. After much effort, I concluded that the best approach was to convert models to TensorFlow and then work with tfgo, a Go binding to TensorFlow's C API. In GoFaceRec, the input image is first processed, and then its embeddings are compared against the ones already computed from our dataset. If the distance between embeddings falls below a specific threshold, then the face is considered as unknown. Otherwise, the proper label will be printed. The project is tested using Go 1.17 on Ubuntu 20.04. For gocv, the version of OpenCV installed is 4.7. And for tfgo, I installed [this version](https://github.com/galeone/tfgo) instead of the official one. You can install this package by running the following command in your project: > go get github.com/modanesh/[email protected] You can find more detailed instructions on how to use the tool in the [GitHub repository](https://github.com/modanesh/GoFaceRec). I welcome any feedback, suggestions, or contributions to the project. I'm looking forward to seeing how the community uses GoFaceRec and hope it can be a valuable tool for those working on face recognition tasks. Happy coding! 🚀
  • Why can't Go be popular for machine learning?
    6 projects | /r/golang | 22 Jul 2022
    Paolo Galeone has improved bindings (tfgo) that can be used for training and deployment.
  • How to train a model for object detection in Golang?
    2 projects | /r/golang | 16 May 2022
    https://github.com/galeone/tfgo here is a very good tutorial. I would suggest starting there.
  • What libraries from other languages do you wish were ported over into go?
    13 projects | /r/golang | 27 Jul 2021
    Tensorflow is actually written in C++, and the python package is just bindings to tensorflow. There are Tensorflow Go bindings: https://github.com/galeone/tfgo.
  • Using Time series to make predictions
    1 project | /r/golang | 16 Jan 2021
    have you tried your hands at [galeone/tfgo](https://github.com/galeone/tfgo); I've just hello-world it... so can't vouch on efficiency

What are some alternatives?

When comparing arboreal and tfgo you can also consider the following projects:

ivy - The Unified AI Framework

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

carton - Run any ML model from any programming language.

GoLearn - Machine Learning for Go

neat

go-deep - Artificial Neural Network

libsvm - libsvm go version

Varis - Golang Neural Network

EAGO

CloudForest - Ensembles of decision trees in go/golang.

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

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