torchvision-ruby
Computer vision toolkit
A Ruby library providing computer vision datasets, transforms, and models for use in machine learning applications.
Computer vision datasets, transforms, and models for Ruby
39 stars
5 watching
2 forks
Language: Ruby
last commit: over 1 year ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| ankane/torch.rb | A Ruby implementation of deep learning libraries inspired by PyTorch. | 739 |
| ankane/torchtext-ruby | A Ruby library providing data loaders and abstractions for text and NLP tasks | 35 |
| ankane/torchrec-ruby | A deep learning-based recommendation system framework for Ruby | 36 |
| ankane/torchdata-ruby | A Ruby library for composable data loading and preprocessing of datasets. | 11 |
| ankane/eps | A machine learning library for Ruby that allows users to build predictive models quickly and easily. | 659 |
| ankane/torchaudio-ruby | An audio processing library built on top of Torch.rb, providing methods to load, save, and transform audio data. | 17 |
| ankane/lightgbm-ruby | A high-performance gradient boosting library for Ruby | 75 |
 nowaterlili/heroku-buildpack-ruby-opencv | An extension of Heroku's Ruby buildpack that integrates OpenCV and CMake for computer vision tasks. | 3 |
| ankane/fasttext-ruby | Efficient text classification and representation learning library for Ruby | 204 |
 ruby/tk | A Ruby module providing a Tk interface using tcltklib | 118 |
| ankane/ngt-ruby | A high-performance approximate nearest neighbors search library for Ruby | 52 |
| ankane/trove | A tool that allows developers to deploy and manage machine learning models in Ruby applications | 67 |
 chriswailes/rltk | A toolkit for building lexers, parsers, and abstract syntax trees in Ruby, with features such as re-entrant code, flexible lexer/parser definitions, and LLVM bindings. | 452 |
| ankane/xgboost-ruby | High-performance machine learning library with a Ruby interface to XGBoost gradient boosting algorithm | 106 |
 intel/ros2_openvino_toolkit | A toolkit providing a ROS-adapted framework for deploying neural network-based computer vision applications on Intel hardware | 168 |