Making large AI models cheaper, faster and more accessible
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Updated
Sep 27, 2023 - 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
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.
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
Distributed Deep learning with Keras & Spark
A distributed task scheduler for Dask
MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)
📚 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
Hashtopolis - A Hashcat wrapper for distributed password recovery
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
PySpark + Scikit-learn = Sparkit-learn
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