onnxruntime-ruby
Run ONNX models in Ruby (by ankane)
blingfire-ruby
High speed text tokenization for Ruby (by ankane)
onnxruntime-ruby | blingfire-ruby | |
---|---|---|
2 | 1 | |
94 | 62 | |
- | - | |
6.8 | 5.4 | |
2 months ago | 4 months ago | |
Ruby | Ruby | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
onnxruntime-ruby
Posts with mentions or reviews of onnxruntime-ruby.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-25.
-
Text generation with GPT-2 in Ruby
The onnxruntime gem already contains binary files for each platform, so you don't need to install the ONNX runtime yourself. Just install the gem and it should work.
-
YOLOv7 object detection in Ruby in 10 minutes
View on GitHub
blingfire-ruby
Posts with mentions or reviews of blingfire-ruby.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-25.
-
Text generation with GPT-2 in Ruby
The tokenizers gem is written in Rust, so installation requires Rust. If Rust isn't available, blingfire can be used instead.
What are some alternatives?
When comparing onnxruntime-ruby and blingfire-ruby you can also consider the following projects:
ONNX-YOLOv7-Object-Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.
LibUI - A portable GUI library for Ruby
models - A collection of pre-trained, state-of-the-art models in the ONNX format
numo-narray - Ruby/Numo::NArray - New NArray class library
netron - Visualizer for neural network, deep learning and machine learning models
tokenizers-ruby - Fast state-of-the-art tokenizers for Ruby
RMagick - Ruby bindings for ImageMagick
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
onnxruntime-ruby vs ONNX-YOLOv7-Object-Detection
blingfire-ruby vs LibUI
onnxruntime-ruby vs models
blingfire-ruby vs numo-narray
onnxruntime-ruby vs netron
blingfire-ruby vs models
onnxruntime-ruby vs numo-narray
blingfire-ruby vs tokenizers-ruby
onnxruntime-ruby vs LibUI
blingfire-ruby vs netron
onnxruntime-ruby vs RMagick
onnxruntime-ruby vs onnxruntime