songtianyi/go-mxnet-predictor
go binding for mxnet c_predict_api to do inference with pre-trained model
This is a tool for Go developers who need to integrate pre-trained MXNet machine learning models directly into their Go applications for tasks like image recognition or data classification. It allows you to take an existing MXNet model (like one trained to identify flowers) and input new data (an image or numerical array) to get predictions or classifications back. The primary users are Go engineers building high-performance applications that require machine learning inference.
No commits in the last 6 months.
Use this if you are a Go developer building an application that needs to perform fast inference using a pre-trained MXNet model.
Not ideal if you are not a Go developer or if you need to train new machine learning models, as this tool is only for using existing models.
Stars
54
Forks
15
Language
Go
License
Apache-2.0
Category
Last pushed
Jun 06, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/songtianyi/go-mxnet-predictor"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
SPFlow/SPFlow
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
gomlx/gomlx
GoMLX: An Accelerated Machine Learning Framework For Go
montanaflynn/stats
A well tested and comprehensive Golang statistics library package with no dependencies.
mattn/go-tflite
Go binding for TensorFlow Lite
james-bowman/sparse
Sparse matrix formats for linear algebra supporting scientific and machine learning applications