Showing 4 open source projects for "packages"

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  • 1
    SeedVR2 Upscaler ComfyUI

    SeedVR2 Upscaler ComfyUI

    Official SeedVR2 Video Upscaler for ComfyUI

    ComfyUI-SeedVR2 Video Upscaler is an open-source integration node for the ComfyUI workflow environment that brings the advanced SeedVR2 video upscaling and restoration model directly into visual AI pipelines. This project packages the SeedVR2 architecture as a custom node for ComfyUI, letting users upscale low-resolution video or imagery inside a node-based interface without needing to write code manually. The underlying SeedVR2 model is known for delivering high-quality video enhancement with strong temporal consistency and improved detail preservation by using diffusion-based techniques that are trained specifically on video sequences. ...
    Downloads: 33 This Week
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  • 2

    MediaData

    Provides access to media file metadata

    A suite of python packages to display/record media file metadata.
    Downloads: 0 This Week
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  • 3
    PyTorch Natural Language Processing

    PyTorch Natural Language Processing

    Basic Utilities for PyTorch Natural Language Processing (NLP)

    PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out...
    Downloads: 0 This Week
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  • 4
    FFmpeg Docker image

    FFmpeg Docker image

    Docker build for FFmpeg on Ubuntu / Alpine / Centos / Scratch

    FFmpeg Docker image is a collection of Docker images that provide prebuilt FFmpeg environments for media processing, encoding, and streaming tasks. The project compiles FFmpeg from source and packages it with various configurations and dependencies, enabling users to run FFmpeg without installing it directly on their systems. It supports multiple base operating systems such as Ubuntu, Alpine, and CentOS, offering flexibility depending on deployment needs. The images are designed for scalability, making them suitable for encoding farms and distributed processing pipelines. ...
    Downloads: 1 This Week
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