Search Results for "separation" - Page 2

SVoice is a PyTorch-based implementation of Facebook Research’s study on speaker voice separation as described in the paper “Voice Separation with an Unknown Number of Multiple Speakers.” This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple computational steps, while maintaining speaker consistency across output channels. ...

Spleeter is the Deezer source separation library with pretrained models written in Python and using Tensorflow. 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.

...Because bindings are just Python functions and classes, refactoring remains straightforward and the DI graph is easy to reason about. Pinject is particularly useful for medium-to-large services where configuration, logging, data clients, and business logic need clean separation without resorting to manual plumbing.

This app makes it extremely easy to build Django powered SPA's (Single Page App) or Mobile apps exposing all registration and authentication-related functionality as CBV's (Class Base View) and REST (JSON). Tivix rebuilt a NATO software system to organize and coordinate rescue missions for submarines in distress across the globe. The United Nations Partner Portal (UNPP) is a web application built for a group of UN agencies to simplify their business processes and streamline collaboration...

...The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability can often be leveraged by sending users to the same URL that your visualization code uses internally to load the data. While DRP is primarily a data API, it also provides a default collection of interactive visualizations through the @wq/chart library, and a @wq/pandas loader to facilitate custom JavaScript charts that work well with CSV output served by DRP. ...

...Instead of conditioning on free-form text alone, it leverages graph structure to control layout and interactions, generating scenes that respect constraints like “person left of dog” or “cup on table.” The pipeline typically predicts object layouts (bounding boxes and masks) from the graph, then renders a realistic image conditioned on those layouts. This separation lets the model reason about geometry and composition before committing to texture and color, improving spatial fidelity. The repository includes training code, datasets, and evaluation scripts so researchers can reproduce baselines and extend components such as the graph encoder or image generator. In practice, sg2im demonstrates how structured semantics can guide generative models to produce controllable, compositional imagery.

...You input a file with two columns (one for each variable) and tryout different separations of populations (blue and red) and analyze it's efficiency by observing the eigen value result for the attempted separation. It also gives many information about the statistics both of the input and the separated populations. There's a documentation folder in the software which brings a quick start guide for this software.

TMTTD (Too Many Things To Do) is a curses based todo-list manager, based on the Getting Things Done (GTD) method. It implements a clear separation of the five GTD phases and is designed to be small and beautiful.

Executable UML command-line interpeter and metamodel. Intended future import-export compatibility for proprietary xtUML and iUML metamodels and model compilers. Emphasis on analysis/implementation separation and parallel processing implementations.

JPublish is a powerful web publishing system designed to ensure a clean separation of developer roles. JPublish includes support for multiple templating engines, including Velocity, FreeMarker and WebMacro and several scripting languages for actions.

Corbon is a light framework that transforms XML to XHTML pages. It strives to generate standards-compliant XHTML 1.0 code, with a strict separation of content and layout.

Pyblish is a web server and application framework written in Python. The main goal for Pyblish is power through simplicity, clear separation of developer roles and easy extensibility.

Draco is a framework for the rapid development of dynamic web sites and web applications. It provides a method for a clean separation of code and markup and has an extensive standard library. Draco is written in and makes use of the Python language.

Metagame-Sector is a Python framework for quickly and easily making Sector-based games (ie, Chess, Risk, Bard's Tale, Zelda, WarCraft, Civ). Features include Client-Server model, View separation (ie, you can have a GNOME and a Win32 frontend), and more.