Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.
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Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
A groovy/java tabular Data (from CSV,SQL,JSON) processing library that supports fuzzy column matching,tranformations/merging/querying
Constructive Generation Methods for Dungeons and Levels
Processing Library for writing HPGL (plotter) files
⛓ A Crystal library for building Markov Chains and running Markov Processes.
A powerful and easy-to-use PHP SDK for the Mistral AI API, allowing seamless integration of advanced AI-powered features into your PHP projects.
Ruby based API for the project Wortschatz Leipzig.
pipelines contains generic functions for concurrent processing
🕹 Responsive post-processing for #pico8 web player
Duration processing library built on top of local-time.
A generic goal preprocessing tool for proof automation tactics in Coq
Internet Archive's Sparkling Data Processing Library
Modular image and object analysis workflows for ImageJ/Fiji
A light-weight package for in-app micro batch processing
.NET Audio Framework for audio and MIDI playback, editing, and plugin integration.
Lightweight on-device keyword spotting engine for iOS using CoreML and real-time audio streaming.
High performant ETL engine written in TypeScript
Program AxiDraw with turtle graphics commands in Processing
Quick Demo for setting up a Babylon.js real time video processing in a web page.
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.
A small Python module for BMP image processing.
Stateful actors on Apache Flink 2.x and Java 21 — durable per-key state, exactly-once messaging, Kafka and Kinesis I/O, Kubernetes-native deployment. Continues the Apache Stateful Functions programming model on the modern Flink line.
Options & input processing for modern Fortran