tensor_stream
A standalone reimplementation of TensorFlow for Ruby, supporting pure Ruby and OpenCL backends for machine learning.
What is tensor_stream?
TensorStream is a ground-up reimplementation of TensorFlow for the Ruby programming language. It provides a machine learning framework where computations are defined as data flow graphs, supporting both pure Ruby and OpenCL backends for CPU and GPU execution. It solves the problem of bringing TensorFlow-like ML capabilities to Ruby ecosystems without requiring Python or complex dependencies.
Ruby developers and data scientists who want to build, train, and deploy machine learning models within Ruby applications, especially those looking for TensorFlow compatibility without leaving the Ruby environment.
Developers choose TensorStream because it offers a familiar TensorFlow API in Ruby, enables hardware acceleration via OpenCL, and runs across multiple Ruby implementations (MRI, JRuby, TruffleRuby). Its standalone nature eliminates external dependencies like Docker or Python.
Overview
A ground-up and standalone reimplementation of TensorFlow for ruby. Comes with a pure ruby and OpenCL opcode evaluator
Use Cases
Best For
- Building and training neural networks in Ruby
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