Showing 1-20 of 32 projects
Colossal-AI optimizes large AI model training and inference with distributed computing and GPU acceleration.
A curated collection of resources for machine learning, deep learning, and distributed systems development.
Hazelcast is a high-performance, distributed in-memory data platform for real-time insights and stream processing.
Automate code & data workflows with interactive Elixir notebooks for distributed computing and real-time visualization.
Ultra-fast distributed actors framework for building scalable and resilient Go applications.
High-performance data engine for AI and multimodal workloads, processing images, audio, video, and structured data at scale.
A fast, efficient, and scalable distributed map/reduce system for DAG execution in pure Go.
Catalyst is an accelerated deep learning R&D library for Python that supports a variety of AI and machine learning use cases.
Alpa is a distributed training and serving framework for large-scale neural networks with auto-parallelization.
A C++ library for distributed large language model inference, allowing developers to build powerful AI applications with a cluster of home devices.
Zenoh is an open-source, geo-distributed data platform that unifies data in motion, data at rest and computations.
Bare-bones examples of machine learning in TensorFlow for developers working with AI tools.
Open-source software for volunteer computing and grid computing.
A unified interface for distributed computing on Spark, Dask and Ray without any rewrites.
Chapel is a high-performance, open-source programming language designed for productive parallel computing.
A scalable, fault-tolerant, and highly performing distributed file system for HPC and software-defined storage applications.
Proto Actor is a fast, scalable, and distributed actor framework for .NET, Go, and Java/Kotlin applications.
A distributed task scheduler for Dask, a popular Python library for parallel and distributed computing.
Research interface for blackbox and hyperparameter optimization using the Google Vizier Service
Ultrafast serverless GPU inference, sandboxes, and background jobs for AI-focused developers.
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