How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
A package to deal with graphs built on images.
wav2letter is an automatic speech recognition toolkit and deep learning framework designed to convert audio speech signals into written text. It functions as a distributed training system and an inference engine for building and deploying neural network architectures. The system enables the training of large-scale speech models across multiple compute nodes using custom architecture files and structured recipes. It includes an inference engine that allows these trained models to be executed within Python workflows to transform audio sequences into text. The framework covers the full speech r
Filter design, periodograms, window functions, and other digital signal processing functionality
The main features of juliadsp/dsp.jl are: Computer Vision and Signal Processing.
Open-source alternatives to juliadsp/dsp.jl include: clementfarabet/lua---imgraph — A package to deal with graphs built on images. clementfarabet/videograph — This package extends imgraph, for videos... facebookresearch/wav2letter — wav2letter is an automatic speech recognition toolkit and deep learning framework designed to convert audio speech… juliaimages/images.jl — An image library for Julia. koraykv/fex — feature extractor library for torch7. biosignalsplux/biosignalsnotebooks.