Scalable Ml
Showing 9 of 9 projects
A fast online machine learning system with advanced techniques like hashing, reductions, and contextual bandits.
An open-source library for building massively scalable machine learning pipelines on Apache Spark.
A highly efficient, scalable Gaussian process library implemented in PyTorch with GPU acceleration and modular design.
A high-performance, easy-to-use, and scalable machine learning package for linear models, factorization machines, and field-aware factorization machines.
A high-performance, scalable LLM library and reference implementation written in pure Python/JAX for training on TPUs and GPUs.
A Python framework for scalable time series forecasting using machine learning models, designed for production environments.
A scalable machine learning library that runs on Apache Hive, Spark, and Pig for distributed ML directly in SQL.
A JRuby gem that provides Ruby-friendly access to Apache Mahout's scalable machine learning capabilities for recommendations.
A serverless machine learning framework that scales algorithms across cloud lambda functions.
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