Project
Reverse Dependencies for numo-narray
The projects listed here declare numo-narray as a runtime or development dependency
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OpenAI CLIP embeddings, uses ONNX models. Allows to create embeddings for images and text
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dAImond is a PyTorch-inspired deep learning framework for Ruby featuring automatic differentiation, neural networks, and a high-performance Rust backend for tensor operations. Achieves 89%+ accuracy on MNIST.
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A comprehensive forensic deepfake detection toolkit designed for law enforcement,
military, and national security applications. Features AI/ML detection algorithms,
forensic reporting, and court-admissible evidence generation with high accuracy
deepfake detection for video, audio, and image files.
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High level plug-and-play interface for composing Machine Learning applications
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Ruby implementation of the parsing and computation of ephemerides from NASA/JPL Development Ephemerides DE4xx and IMCCE INPOP
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DEPRECATED PROJECT. MIGRATED TO PYTHON: https://github.com/seoanezonjic/py_exp_calc.
To expand ruby math operations this gem call to others such as Numo:narray and others and implements methods onto them to deal with our needs
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Gaussian Filter
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Reaction diffusion system (Gray-Scott model).
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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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Anomaly detection using gaussian distribution, written in ruby
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Magro is a minimal image processing library for Ruby.
Magro uses Numo::NArray arrays as image objects and provides basic image processing functions.
Current supporting features are reading and writing JPEG and PNG images,
image resizing with bilinear interpolation method, and image filtering.
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A Ruby FFI interface to the JACK Audio Connection Kit
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Ruby code for encoding, decoding, and processing positional audio. This
code accompanies my educational video series about sound.
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Meshgrid generator for 2D & 3D Numo::Narray.
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Function module similar to `filter` in MatLab or Octave.
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Multivariate Optimization Library in Ruby.
Mopti supports Nelder-Mead simplex method and Scaled Conjugate Gradient.
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Muze is a Ruby audio analysis and feature extraction library that provides audio loading, spectral analysis, feature extraction, rhythm analysis, and audio effects.
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긴 상세 이미지를 단색/그라데이션 배경 영역을 기준으로 자동 분할합니다.
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Train and run GPT models in Ruby using torch.rb. A minimal, educational implementation of GPT-2 style models.
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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。
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