Search Results for "hydra"

Hydra lets you focus on the problem at hand instead of spending time on boilerplate code like command-line flags, loading configuration files, logging etc. With Hydra, you can compose your configuration dynamically, enabling you to easily get the perfect configuration for each run. You can override everything from the command line, which makes experimentation fast, and removes the need to maintain multiple similar configuration files.

...OpenID Connect is implemented according to OpenID Connect Core 1.0 incorporating errata set 1 and includes all flows: code, implicit, and hybrid. OAuth2 and OpenID Connect are difficult protocols. If you want quick wins, we strongly encourage you to look at Hydra. Hydra is a secure, high-performance, cloud native OAuth2 and OpenID Connect service that integrates with every authentication method imaginable and is built on top of Fosite.

...It is a component of the API Platform framework and it can be integrated with the Symfony framework using the bundle distributed with the library. It natively supports popular open formats including JSON for Linked Data (JSON-LD), Hydra Core Vocabulary, OpenAPI v2 (formerly Swagger) and v3, HAL and Problem Details. Build a working and fully-featured CRUD API in minutes. Leverage the awesome features of the tool to develop complex and high-performance API-first projects. Extend or override everything you want.

Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the...

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...

...The framework currently integrates some of the best-published architectures and it integrates the most common public datasets for ease of reproducibility. It heavily relies on Pytorch Geometric and Facebook Hydra library thanks for the great work! We aim to build a tool that can be used for benchmarking SOTA models, while also allowing practitioners to efficiently pursue research into point cloud analysis, with the end goal of building models which can be applied to real-life applications. Task driven implementation with dynamic model and dataset resolution from arguments. ...

cross-platform game/multimedia development core engine written in C/C++. It supports Windows, OSX, Linux, Xbox360, and PS3, allowing the use of both DirectX 3D and OpenGL. please vist www.enside.net/hydra

The objective is to create a Unix style command line tool, capable of distributing independent operations of a trivially parallel process over each processor in a Symmetric multiprocessing machine in effort to expedite job completion.

A Spring-powered, high-performance distributed cache.