Search Results for "stems"
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Showing 16 open source projects for "stems"
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StemRoller
Isolate vocals, drums, bass, and other instrumental stems from songs
...Once stems have been extracted, you'll see an Open button next to the song - click that to access your stems! Using StemRoller couldn't be easier - just head to the StemRoller website or the releases page and download the latest version! That bundle includes everything you need to split stems. -
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MMDetection
An open source object detection toolbox based on PyTorch
MMDetection is an open source object detection toolbox that's part of the OpenMMLab project developed by Multimedia Laboratory, CUHK. It stems from the codebase developed by the MMDet team, who won the COCO Detection Challenge in 2018. Since that win this toolbox has continuously been developed and improved. MMDetection detects various objects within a given image with high efficiency. Its training speed is comparable or even faster than those of other codebases like Detectron2 and SimpleDet. ... -
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Swirl
Swirl queries any number of data sources with APIs
Swirl queries any number of data sources with APIs and uses spaCy and NLTK to re-rank the unified results without extracting and indexing anything! Includes zero-code configs for Apache Solr, ChatGPT, Elastic Search, OpenSearch, PostgreSQL, Google BigQuery, RequestsGet, Google PSE, NLResearch.com, Miro & more! SWIRL adapts and distributes queries to anything with a search API - search engines, databases, noSQL engines, cloud/SaaS services etc - and uses AI (Large Language Models) to re-rank... -
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ccccd
Channel Code Copy of Compact Discs
Channel Code Copy of Compact Discs: This project has the goal to archive the complete content of CDs on the channel code layer. Here, the NRZI signal which stems from the laser-pickup of a CD player is recorded directly, providing sort of a pit-land photo of the CD. The resulting image file, in turn, is demodulated and decoded in software, i.e. within a virtual CD player. The digital audio channel code on LaserDiscs and CD Video discs can be handled as well. Note: The image extraction functionality requires a proprietary hardware interface with a modified disc player. ... -
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FSharp.Data
F# Data: Library for Data Access
The FSharp.Data package implements core functionality to access common data formats in your F# applications and scripts. It contains F# type providers for working with structured file formats (CSV, HTML, JSON and XML) and helpers for parsing CSV, HTML and JSON files and for sending HTTP requests. This library focuses on providing simple access to structured documents and other data sources. The FSharp.Data type providers for CSV, HTML, JSON and XML infer types from the structure of a sample... -
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MISST
A local GUI music source separation tool built on Tkinter and public F
MISST : Music/Instrumental Stem Separation Tool. This application uses state-of-the-art source separation models to extract the 4 core stems from audio files (Bass, Drums, Other Instrumentals and Vocals). But it is not limited to this. MISST acts as a developped music player aswell, fit to enjoy and medal with your audio files as you see fit. MISST even comes prepared to import songs and playlists directly from your music library. -
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Music Source Separation
Separate audio recordings into individual sources
Music Source Separation is a PyTorch-based open-source implementation for the task of separating a music (or audio) recording into its constituent sources — for example isolating vocals, instruments, bass, accompaniment, or background from a mixed track. It aims to give users the ability to take any existing song and decompose it into separate stems (vocals, accompaniment, etc.), or to train custom separation models on their own datasets (e.g. for speech enhancement, instrument isolation, or other audio-separation tasks). The repository provides training scripts (e.g. using datasets such as MUSDB18), preprocessing steps (audio-to-HDF5 packing, indexing), evaluation pipelines, and inference scripts to perform separation on arbitrary audio files. ... -
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Spleeter
Deezer source separation library including pretrained models
...It makes it easy to train music source separation models (assuming you have a dataset of isolated sources), and provides already trained state of the art models for performing various flavours of separation. 2 stems and 4 stems models have state of the art performances on the musdb dataset. Spleeter is also very fast as it can perform separation of audio files to 4 stems 100x faster than real-time when run on a GPU. We designed Spleeter so you can use it straight from command line as well as directly in your own development pipeline as a Python library. ... -
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Korean Analyzer Rhino
Parsing Korean words by morpheme and part-of-speech
RHINO parses Korean words by morpheme and part-of-speech. Its dictionaries are based on Korean Modern Tagged Corpus(12 million phrases scale) which was made by Korean government. So it analyses many cases of stems and endings. And the newly developed Dynamic Dictionary Technology can make words to react with their context. That is, a programmed database. For more information see the files in the help folder. -
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A Perl based interpreter for a language which is a blend of Forth and APL. The power of lang5 stems from its arrays operations in conjunction with the underlying Forth programming paradigm of bottom up programming.
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Perstem is a Persian (Farsi) stemmer, morphological analyzer, transliterator, and partial part-of-speech tagger. Inflexional morphemes are separated or removed from their stems. Perstem can also tokenize and transliterate between various character set encodings and romanizations.
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This is a database of the Arabic roots and their derivatives in voweled and unvoweled forms along with stems. The database is extracted from the well known Arabic legacy dictionary "تاج العروس من جواهر القاموس".
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The openTorso is an open-source cross-platform game/graphics engine. The power of openTorso stems from its modular and extensible, yet simple structure. So far, the openTorso uses OpenGL graphics, OpenAL audio and DevIL for texture handling.
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snlanalytic is a small Python script that takes a stem-and-leaf plot as input and returns basic statistics (sum, mean, median, mode) to the user.
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A jotter like kjots but using gtk. Also you can have multiple and arbitary depths for each stems. It also can export each stem and it's children neatly as a formatted html file. Saves all data in a simple heirarchy of text files.
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This generator can generates buddhabrot fractal, mandelbrot fractals and inverse bb fractals, as per Melinda Green's method. It's reasonably fast, and has a few options. The name “buddhabrot” stems from a remarkable resemblance to sitting Buddha.
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