unixpickle/anynet
Framework for artificial neural networks
This framework helps developers build and train artificial neural networks for various machine learning tasks. It takes raw data (like images or sequences) and produces trained models capable of making predictions or classifications. Software engineers and machine learning practitioners who need to implement custom neural network architectures would use this.
No commits in the last 6 months.
Use this if you are a developer looking for a flexible Go-based framework to implement and experiment with a wide range of neural network architectures, including feed-forward and recurrent networks.
Not ideal if you prefer a high-level, off-the-shelf solution for common machine learning tasks without needing to delve into network architecture details.
Stars
35
Forks
5
Language
Go
License
—
Category
Last pushed
Sep 09, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/unixpickle/anynet"
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