Image processing operations in Rust
Advanced computing library for real-world problem solving - optimization, differential equations, interpolation, statistics, and more
A Rust port of SciPy with AI/ML extensions - Scientific Computing and AI Library (scirs2)
OxiCUDA Signal - GPU-accelerated signal, audio, and image processing (DCT, DWT, STFT, Mel, MFCC, NMS, morphology)
Computer vision for OxiMedia
Litsea is an extreamely compact word segmentation and model training tool implemented in Rust.
Litsea is an extreamely compact word segmentation and model training tool implemented in Rust.
Parametric morphology engine for human body generation — targets, blendshapes, FACS
Rust port of Leptonica image processing library
Pure-Rust single-frame image filters (blur, edge, resize, ...) for oxideav
ZUNA EEG Foundation Model — inference in Rust (Burn and/or RLX)
Emotion and personality engine — trait spectrums, mood vectors, archetypes, behavioral mapping
Implements some Morphological Metrics, described by Larry Polansky.
MM::Space is a framework for working with Morphological Metrics and Morphological Mutations in Ruby. A core component of MM::Space is that it has a notion of global distance throughout a series of measurements or transformations. This is what "Space" implies. It uses coworker libraries MM::Metric and MM::Mutation to drive these measurements and transformations.