|almost 8 years ago||over 1 year ago|
|MIT License||MIT License|
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We haven't tracked posts mentioning goRecommend yet.
Tracking mentions began in Dec 2020.
Ask HN: What are some tools / libraries you built yourself?
264 projects | news.ycombinator.com | 16 May 2021
DDT allows building custom decision trees based in a set of defined rules, programmatically or from json.
When making a decision, it allows adding a pre-processing stage to the input before comparing it with the following possible branches of the tree.
What is your “I don't care if this succeeds” project?
42 projects | news.ycombinator.com | 1 Feb 2021
https://github.com/sgrodriguez/ddt a decision tree lib in golang for building custom rules decision tree. It allows adding a pre-processing stage to the input before comparing it with the following possible branches of the tree. One of the default preprocessing stages in ddt is calling a method of a struct (CallStructMethod) and getting the attribute of a struct (GetStructAttribute) using reflection, so you can have a struct user with some methods and attributes and build a tree asking question about the user.
What are some alternatives?
shield - Bayesian text classifier with flexible tokenizers and storage backends for Go
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
Varis - Golang Neural Network
gobrain - Neural Networks written in go
ocrserver - A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well
Goptuna - A hyperparameter optimization framework, inspired by Optuna.
golinear - liblinear bindings for Go
go-pr - Pattern recognition package in Go lang.
go-deep - Artificial Neural Network