Anomaly detection using gaussian distribution, written in ruby

A Ruby FFI interface to the JACK Audio Connection Kit

Ruby code for encoding, decoding, and processing positional audio. This code accompanies my educational video series about sound.

Meshgrid generator for 2D & 3D Numo::Narray.

Function module similar to `filter` in MatLab or Octave.

Multivariate Optimization Library in Ruby. Mopti supports Nelder-Mead simplex method and Scaled Conjugate Gradient.

긴 상세 이미지를 단색/그라데이션 배경 영역을 기준으로 자동 분할합니다.

Train and run GPT models in Ruby using torch.rb. A minimal, educational implementation of GPT-2 style models.

Extracts data from a double precision floating point binary file. 倍精度浮動小数点バイナリファイルからデータを抽出するよ。

DEPRECATED PROJECT. MIGRATED TO PYTHON: https://github.com/seoanezonjic/NetAnalyzer. NetAnalyzer is a useful network analysis tool developed in Ruby that can 1) analyse any type of unweighted network, regardless of the number of layers, 2) calculate the relationship between different layers, using various association indices (Jaccard, Simpson, PCC, geometric, cosine and hypergeometric) and 3) validate the results

neural network ruby implementaiton

Rubyでニューラルネットワークを作成できます。

Read binary files and handle them with `NArray`.

Numo::FFTW development version.

Numo::TinyLinalg is a subset library from Numo::Linalg consisting only of methods used in Machine Learning algorithms. The functions Numo::TinyLinalg supports are dot, det, eigh, inv, pinv, qr, solve, cholesky, cho_solve and svd.

Automatically generate Ruby code from ONNX

A lightweight Ruby library designed to provide quick evaluation of option strategies.

DEPRECATED PROJECT. MIGRATED TO PYTHON: https://github.com/seoanezonjic/pets. PETS suite includes three different tools. CohortAnalyzer performs the calculation of several statistics that gives an overview of a cohort of patients to analyse. Reg2Phen uses associations between pathological phenotypes and regions of the genome (these associations can be calculated from the cohort of patients if they include genotypic & phenotypic information using NetAnalyzer, another Ruby gem) to find, for a given genomic region, which pathological phenotypes have been associated with that region. The third tool, Phen2Reg, is a predictor that using the same associations as Reg2Phen, predicts which genomic regions can be the cause of a list of pathological phenotypes observed in a patient.

rblearn (ruby-learn) provides methods for feature extracting and some algorithms.

Red Arrow Numo::NArray adds `Arrow::Tensor#to_narray` and `#to_arrow`/`#to_arrow_array` to `Numo::NArray`'s numerical subclasses such as `Numo::Int8`. `Arrow::Tensor#to_narray` returns a `Numo::NArray`'s numerical subclass such as `Numo::Int8`. `#to_arrow` returns a `Arrow::Tensor`. `#to_arrow_array` returns an `Arrow::Array` instance if the original object is an 1 dimensional array.