Making large AI models cheaper, faster and more accessible
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Updated
Dec 17, 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.
A list of papers about distributed consensus.
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Bare bone examples of machine learning in TensorFlow
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.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
a Productive Parallel Programming Language
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
MooseFS Distributed Storage – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System / Software-Defined Storage
A distributed task scheduler for Dask
Tensor parallelism is all you need. Run LLMs on an AI cluster at home using any device. Distribute the workload, divide RAM usage, and increase inference speed.
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