Search Results for "thc-hydra"
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Showing 8 open source projects for "thc-hydra"
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Hydra Framework
Framework for elegantly configuring complex applications
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. -
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fosite
Extensible security first OAuth 2.0 and OpenID Connect SDK for Go
...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. -
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API Platform Core
The server component of API Platform, hypermedia and GraphQL APIs
...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. -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
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... -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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SVoice (Speech Voice Separation)
We provide a PyTorch implementation of the paper Voice Separation
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... -
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Hydra
Lightweight full-featured Promises, Async & Await Library in Swift
...Operators include timeout, retry, recover, validate, map, zip, all, any, defer, pass, and always. Hydra supports Apple platforms and Linux and can be integrated through common Swift dependency-management systems. -
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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
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