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Showing 10 open source projects for "hydra"

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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

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  • Outplacement, Executive Coaching and Career Development | Careerminds Icon
    Outplacement, Executive Coaching and Career Development | Careerminds

    Careerminds outplacement includes personalized coaching and a high-tech approach to help transition employees back to work faster.

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  • 1
    Inscryption Hydra Tracker

    Inscryption Hydra Tracker

    A tool to help unlock the Hydra in Inscryption

    This tool will help you transform the Curious Egg card into a Hydra by making it easy to see which cards you have, what you need, and what you can get rid of.
    Downloads: 0 This Week
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  • 2
    Fast3R

    Fast3R

    Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass

    Fast3R is Meta AI’s official CVPR 2025 release for “Towards 3D Reconstruction of 1000+ Images in One Forward Pass.” It represents a next-generation feedforward 3D reconstruction model capable of producing dense point clouds and camera poses for hundreds to thousands of images or video frames in a single inference pass—eliminating the need for slow, iterative structure-from-motion pipelines. Built on PyTorch Lightning and extending concepts from DUSt3R and Spann3r, Fast3R unifies multi-view...
    Downloads: 0 This Week
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  • 3
    Matcha-TTS

    Matcha-TTS

    A fast TTS architecture with conditional flow matching

    Matcha-TTS is a non-autoregressive neural text-to-speech architecture that uses conditional flow matching to generate speech quickly while maintaining natural quality. It models speech as an ODE-based generative process, and conditional flow matching lets it reach high-quality audio in only a few synthesis steps, which greatly reduces latency compared to score-matching diffusion approaches. The model is fully probabilistic, so it can generate diverse realizations of the same text while still...
    Downloads: 0 This Week
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  • 4
    Lightning-Hydra-Template

    Lightning-Hydra-Template

    PyTorch Lightning + Hydra. A very user-friendly template

    ...Not fitted for data engineering - the template configuration setup is not designed for building data processing pipelines that depend on each other. PyTorch Lightning, a lightweight PyTorch wrapper for high-performance AI research. Think of it as a framework for organizing your PyTorch code. Hydra, a framework for elegantly configuring complex applications. The key feature is the ability to dynamically create a hierarchical configuration by composition and override it through config files and the command line.
    Downloads: 1 This Week
    Last Update:
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  • Planview is the leading end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Development (DPD) Icon
    Planview is the leading end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Development (DPD)

    Manage project and product portfolios enterprise-wide

    Planview AdaptiveWork (formerly Clarizen) with embedded AI helps you proactively plan and deliver any type and size of portfolio, project, and work. Gain AI-enhanced visibility and insights, drive collaboration, and achieve better business outcomes across your organization.
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  • 5
    Hydra Framework

    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.
    Downloads: 1 This Week
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  • 6
    Fairseq

    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...
    Downloads: 3 This Week
    Last Update:
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  • 7
    SVoice (Speech Voice Separation)

    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...
    Downloads: 2 This Week
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  • 8
    Pytorch Points 3D

    Pytorch Points 3D

    Pytorch framework for doing deep learning on point clouds

    ...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. ...
    Downloads: 0 This Week
    Last Update:
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  • 9
    Denoiser

    Denoiser

    Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)

    ...The project supports both offline denoising (batch inference) and live audio processing (e.g. via loopback audio interfaces), making it practical for real-time use in calls or recording. The codebase includes training and evaluation scripts, configuration management via Hydra, and pretrained models on standard noise datasets.
    Downloads: 3 This Week
    Last Update:
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  • viewneo - Smart software for digital advertising boards Icon
    viewneo - Smart software for digital advertising boards

    Smart digital signage for 1 to 1000+ screens.

    viewneo is a user-friendly, cloud-based solution that allows companies of all sizes to set up digital signage
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  • 10
    A flexible client/server backup system written in python, which uses Pyro (an RPC API) to implement a robust interface.
    Downloads: 0 This Week
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