git-market/avelino-awesome-go
1
0
Fork 0
mirror of https://github.com/avelino/awesome-go.git synced 2026-04-11 14:21:47 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

Add born-ml/born to Machine Learning (#6056)

Browse Source
This commit is contained in:
Andrey Kolkov 2026-02-28 20:00:15 +03:00 committed by GitHub
parent f26ffacbc7
commit 4778f4f9ed
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 1 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
README.md
View File

@ -1645,6 +1645,7 @@ _Libraries for generating and working with log files._
_Libraries for Machine Learning._
- [bayesian](https://github.com/jbrukh/bayesian) - Naive Bayesian Classification for Golang.
- [born](https://github.com/born-ml/born) - Deep learning framework inspired by Burn (Rust), with autograd, type-safe tensors, and zero-CGO GPU acceleration.
- [catboost-cgo](https://github.com/mirecl/catboost-cgo) - Fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model.
- [CloudForest](https://github.com/ryanbressler/CloudForest) - Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.
- [ddt](https://github.com/sgrodriguez/ddt) - Dynamic decision tree, create trees defining customizable rules.