Search Results for "resampling"

Repository for developers that provides core functionality for the MLJ machine learning framework. MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ.

...PyAV integrates well with other Python libraries such as NumPy and Pillow, allowing seamless data transformation and analysis. It supports decoding, encoding, filtering, and resampling operations, covering a wide range of multimedia tasks. While powerful, it requires a solid understanding of FFmpeg concepts, as it prioritizes flexibility and control over abstraction. Overall, PyAV is a robust tool for developers building advanced video and audio processing systems in Python.

Bootstrapping is a widely applicable technique for statistical estimation.

...Input is the raw binary resource data (.jpegs, .wavs etc) and a simple xml file which lists the files and the format in which they are to be output. It's very easy to maintain. To avoid users having to maintain a tool chain, a few basic transformations like resizing images or resampling audio files to match the rate required by the program are included. Output is clean, compileable ANSI C source which should be accepted by any C compiler. The Baby X resource compiler is portable, unlike the resource compilers which come packaged with monolithic IDEs. So it's far easier to maintain.

...The project recreates tables, figures, and laboratory exercises originally presented in the book so that readers can explore the concepts using Python rather than the original R environment. The repository includes Jupyter notebooks demonstrating statistical learning methods such as linear regression, classification algorithms, resampling methods, and model evaluation techniques. These notebooks combine theoretical explanations with practical coding exercises that allow users to reproduce the analyses described in the book. The datasets used in the book are also included so that users can run experiments directly within the provided notebooks. By translating the statistical learning material into Python code, the repository makes the book’s concepts accessible to a wider community of Python users.

...It is designed to work with Go’s standard image package while extending it with commonly needed operations such as resizing, cropping, rotating, and filtering. The library emphasizes correctness and image quality, using well-known resampling algorithms to produce consistent results. Its API is intentionally minimal and easy to use, making it suitable for both small utilities and larger applications. The project supports multiple image formats through Go’s image ecosystem without introducing unnecessary complexity. Overall, it serves as a practical toolkit for developers who need reliable image processing capabilities in Go applications.

Capture is a mod for the Organelle (by Critter & Guitari) that adds (if activated) a true-stereo combination of smooth compressors and brickwall limiters (SuperCompress) + a recorder to the master output for resampling audio from almost any patch. It requires a latch pedal/footswitch to start/stop recording. Please check the Files section for details and instructions, see the Support section for more informations.

The SoX Resampler library `libsoxr' performs one-dimensional sample-rate conversion—it may be used, for example, to resample PCM-encoded audio. It aims to give fast and high quality results for any constant (rational or irrational) resampling ratio. Phase-response, preserved bandwidth, aliasing, and rejection level parameters are all configurable; alternatively, simple `preset' configurations may be selected. An experimental, variable-rate resampling mode of operation is also included.

The TESTIMAGES archive is a huge and free collection of sample images designed for analysis and quality assessment of different kinds of displays and image processing techniques. The archive includes more than 2 million images originally acquired and divided in three different categories: SAMPLING and SAMPLING_PATTERNS (aimed at testing resampling algorithms), COLOR (aimed at testing color rendering on different displays) and PATTERNS (aimed at testing the rendering of standard geometrical patterns). Please cite the following papers when using any image in this archive: * ASUNI N, GIACHETTI A, "TESTIMAGES: A Large Data Archive For Display and Algorithm Testing", Journal of Graphics Tools, Volume 17, Issue 4, 2015, pages 113-125, DOI:10.1080/2165347X.2015.1024298 * ASUNI N, GIACHETTI A, "TESTIMAGES: a large-scale archive for testing visual devices and basic image processing algorithms", STAG - Smart Tools & Apps for Graphics Conference, 2014.

LAoE is a rich featured graphical audiosample-editor, based on multi-layers, floating-point samples, volume-masks, variable selection-intensity, and many plugins suitable to manipulate sound, such as filtering, retouching, resampling...