Showing 2 open source projects for "gpu processing"

View related business solutions
  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
    Try for free
  • Dun and Bradstreet Connect simplifies the complex burden of data management Icon
    Dun and Bradstreet Connect simplifies the complex burden of data management

    Our self-service data management platform enables your organization to gain a complete and accurate view of your accounts and contacts.

    The amount, speed, and types of data created in today’s world can be overwhelming. With D&B Connect, you can instantly benchmark, enrich, and monitor your data against the Dun & Bradstreet Data Cloud to help ensure your systems of record have trusted data to fuel growth.
    Learn More
  • 1
    HunyuanVideo

    HunyuanVideo

    HunyuanVideo: A Systematic Framework For Large Video Generation Model

    HunyuanVideo is a cutting-edge framework designed for large-scale video generation, leveraging advanced AI techniques to synthesize videos from various inputs. It is implemented in PyTorch, providing pre-trained model weights and inference code for efficient deployment. The framework aims to push the boundaries of video generation quality, incorporating multiple innovative approaches to improve the realism and coherence of the generated content. Release of FP8 model weights to reduce GPU...
    Downloads: 5 This Week
    Last Update:
    See Project
  • 2
    HunyuanVideo-I2V

    HunyuanVideo-I2V

    A Customizable Image-to-Video Model based on HunyuanVideo

    HunyuanVideo-I2V is a customizable image-to-video generation framework developed by Tencent, extending the capabilities of HunyuanVideo. It allows for high-quality video creation from still images, using PyTorch and providing pre-trained model weights, inference code, and customizable training options. The system includes a LoRA training code for adding special effects and enhancing video realism, aiming to offer versatile and scalable solutions for generating videos from static image inputs.
    Downloads: 7 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next