Project

Reverse Dependencies for numo-narray

The projects listed here declare numo-narray as a runtime or development dependency

0.15
No commit activity in last 3 years
No release in over 3 years
There's a lot of open issues
A Ruby-like language for writing Ruby C extensions. Rubex keeps you happy even when writing C extensions.
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0.14
No commit activity in last 3 years
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DICOM is a standard widely used throughout the world to store and transfer medical image data. This library enables efficient and powerful handling of DICOM in Ruby, to the benefit of any student or professional who would like to use their favorite language to process DICOM files and communicate across the network.
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0.12
Repository is archived
No release in over 3 years
Low commit activity in last 3 years
TensorFlow - the end-to-end machine learning platform - for Ruby
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0.05
No release in over 3 years
Low commit activity in last 3 years
There's a lot of open issues
A flexible framework for neural network for Ruby
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No commit activity in last 3 years
No release in over 3 years
There's a lot of open issues
Cumo is CUDA aware numerical library whose interface is highly compatible with Ruby Numo.
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0.02
Low commit activity in last 3 years
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Edge stream anomaly detection for Ruby
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0.02
Low commit activity in last 3 years
A long-lived project that still receives updates
Save and load NumPy npy and npz files in Ruby
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No commit activity in last 3 years
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Ruby/Numo - a collection of libraries for numerical computing in Ruby.
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0.02
No release in over 3 years
Low commit activity in last 3 years
There's a lot of open issues
Numo::GSL development version.
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0.02
No release in over 3 years
Low commit activity in last 3 years
There's a lot of open issues
Ruby/Numo Linear Algebra library with interface to BLAS/LAPACK.
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0.02
Repository is archived
No release in over 3 years
Low commit activity in last 3 years
High performance factorization machines for Ruby
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0.01
No release in over a year
Hanny is a Hash-based Approximate Nearest Neighbor (ANN) search library in Ruby. Hash-based ANN converts vector data into binary codes and builds a hash table by using the binary codes as hash keys. To build the hash table, Hanny uses Locality Sensitive Hashing (LSH) of approximating cosine similarity. It is known that if the code length is sufficiently long (ex. greater than 128-bit), LSH can obtain high search performance. In the experiment, Hanny achieved about twenty times faster search speed than the brute-force search by Euclidean distance.
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0.01
No commit activity in last 3 years
No release in over 3 years
This workbench holds a collection of machine learning methods in Ruby. Rather than specializing on a single task or method, this gem aims at providing an encompassing framework for any machine learning application.
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