Making large AI models cheaper, faster and more accessible
-
Updated
Jul 1, 2024 - Python
Making large AI models cheaper, faster and more accessible
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
Accelerated deep learning R&D
Training and serving large-scale neural networks with auto parallelization.
Bare bone examples of machine learning in TensorFlow
A list of papers about distributed consensus.
Microsoft Graph Engine
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Open-source software for volunteer computing and grid computing.
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
Distributed DataFrame for Python designed for the cloud, powered by Rust
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)
Distributed Deep learning with Keras & Spark
A distributed task scheduler for Dask
📚 深入浅出分布式基础架构,Linux 与操作系统篇 | 分布式系统篇 | 分布式计算篇 | 数据库篇 | 网络篇 | 虚拟化与编排篇 | 大数据与云计算篇
Add a description, image, and links to the distributed-computing topic page so that developers can more easily learn about it.
To associate your repository with the distributed-computing topic, visit your repo's landing page and select "manage topics."