Leonxlnx/taste-skill
Taste Skill provides portable AI Agent Skills designed to enhance the quality of AI-generated frontends and image-based design references, aiming to eliminate generic UI outputs.
Awesome AI Agents › AI Developer Toolkit
activeloopai/deeplake
Deep Lake by Activeloop is an AI data runtime designed to manage and streamline data for artificial intelligence applications, particularly for large language models (LLMs) and deep learning. It functions as a serverless multimodal datalake, offering seamless storage and querying of diverse data types including embeddings, audio, text, videos, images, and DICOM files. The platform is optimized for performance in deep learning workflows, enabling scalable retrieval and efficient model training. Key features include multi-cloud support (S3, GCP, Azure, Activeloop cloud, local, in-memory) through a unified API, native compression with lazy NumPy-like indexing for efficient data handling, and direct dataloaders for popular deep learning frameworks like PyTorch and TensorFlow. Deep Lake also boasts strong integrations with prominent AI tools such as LangChain and LlamaIndex for vector store applications, and Weights & Biases for data lineage in model training. It facilitates the instant visualization of datasets within the Deep Lake App, supporting annotations, bounding boxes, and masks. Deep Lake aims to simplify the deployment of enterprise-grade LLM-based products by providing a comprehensive solution for data storage, querying, versioning, and lineage. It works with datasets of any size, maintains a serverless architecture, and allows users to store all data within their own cloud environment. The project offers extensive documentation and practical examples for both vector store applications and deep learning model training, making it a versatile tool for AI development.
https://github.com/activeloopai/deeplake
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