Showing 4 open source projects for "java machine learning library"

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    rust-bert

    rust-bert

    Rust native ready-to-use NLP pipelines and transformer-based models

    ...It allows developers to run state-of-the-art NLP models like BERT, GPT-2, and DistilBERT directly within Rust applications while maintaining high performance and memory efficiency. The library integrates with Rust machine learning infrastructure using crates such as tch-rs and ONNX Runtime for model execution. It also includes tokenization utilities, model architectures, and task-specific pipelines that simplify the development of NLP applications. Because Rust is known for its safety and performance, this project enables developers to deploy modern NLP models in production systems written in Rust.
    Downloads: 0 This Week
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  • 2
    dfdx

    dfdx

    Deep learning in Rust, with shape checked tensors and neural networks

    Deep learning in Rust, with shape-checked tensors and neural networks. Ergonomics & safety focused deep learning in Rust.
    Downloads: 6 This Week
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  • 3
    hora

    hora

    Efficient approximate nearest neighbor search algorithm collections

    hora is an open-source high-performance vector similarity search library designed for large-scale machine learning and information retrieval systems. The project focuses on approximate nearest neighbor search, a fundamental technique used in modern AI applications such as recommendation systems, image search, and semantic search engines. Hora implements multiple efficient indexing algorithms that allow systems to rapidly search through high-dimensional vectors produced by machine learning models. ...
    Downloads: 0 This Week
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  • 4
    Weld

    Weld

    High-performance runtime for data analytics applications

    Weld is a programming language and runtime designed to improve the performance of data-intensive applications by optimizing computations across multiple libraries. Instead of optimizing individual functions independently, Weld introduces an intermediate representation that allows different frameworks to share optimization opportunities. This approach reduces data movement between libraries and enables the system to generate highly optimized machine code for parallel execution. Weld is...
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