Multi Modal
Showing 6 of 6 projects
A low-code declarative framework for building custom LLMs, neural networks, and other AI models with YAML configurations.
A PyTorch-based toolbox for LiDAR-based 3D object detection, supporting multiple state-of-the-art models and datasets.
A C#/.NET library for efficient local inference of LLaMA and other large language models, based on llama.cpp.
A PyTorch-based framework for training and validating models that produce high-quality embeddings for metric learning and retrieval tasks.
An open-source framework for building multi-modal geospatial ML models that fuse satellite, drone, and weather data for agriculture and sustainability insights.
A modular multi-modal transactional database for AI and semantic search, replacing MongoDB, Neo4J, and Elastic with a single ACID solution.
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