Machine learning with GOlang

• go-ml-benchmarks

  5 30 0.0 Go

  ⏱ Benchmarks of machine learning inference for Go

Tabular data is well supported in Go. Tabular data and small sample sizes is a sweet spot for Go. You may squeze in some meaningful performance and good looking code and integrations. Some entry points: (1) https://github.com/nikolaydubina/go-ml-benchmarks (2) https://github.com/dmitryikh/leaves (3) https://github.com/nikolaydubina/go-featureprocessing

• leaves

  3 413 1.8 Go

  pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

Tabular data is well supported in Go. Tabular data and small sample sizes is a sweet spot for Go. You may squeze in some meaningful performance and good looking code and integrations. Some entry points: (1) https://github.com/nikolaydubina/go-ml-benchmarks (2) https://github.com/dmitryikh/leaves (3) https://github.com/nikolaydubina/go-featureprocessing

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• go-featureprocessing

  6 112 5.2 Go

  🔥 Fast, simple sklearn-like feature processing for Go

Tabular data is well supported in Go. Tabular data and small sample sizes is a sweet spot for Go. You may squeze in some meaningful performance and good looking code and integrations. Some entry points: (1) https://github.com/nikolaydubina/go-ml-benchmarks (2) https://github.com/dmitryikh/leaves (3) https://github.com/nikolaydubina/go-featureprocessing

• tflite-golang-gan-example

  1 10 0.0 C

Yeah its pretty unofficial and unsupported. Honestly, I am not sure why they even include it on the tensorflow.org site. If you want to serve stuff via golang it's honestly better to just use cgo and wrap tflite. TF Lite C bindings are pretty stable and if you are using Go then you probably don't have CUDA support anyway. I have hacked together a really basic example https://derekg.github.io/tflite.html and https://github.com/derekg/tflite-golang-gan-example of Golang + TF Lite for serving.

• tensorflow

  221 182,323 10.0 C++

  An Open Source Machine Learning Framework for Everyone

  

Yeah its pretty unofficial and unsupported. Honestly, I am not sure why they even include it on the tensorflow.org site. If you want to serve stuff via golang it's honestly better to just use cgo and wrap tflite. TF Lite C bindings are pretty stable and if you are using Go then you probably don't have CUDA support anyway. I have hacked together a really basic example https://derekg.github.io/tflite.html and https://github.com/derekg/tflite-golang-gan-example of Golang + TF Lite for serving.

• nett

  1 1 0.0 Go

  A short and sweet neural network library.

I've used it to learn how to implement certain matrix ops and backprop by hand. Tis a good exercise actually, to try and build a functioning neural network without any dependencies (https://github.com/sno6/nett).

Suggest a related project