Trending repositories for topic distributed-computing
Making large AI models cheaper, faster and more accessible
Automate code & data workflows with interactive Elixir notebooks
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of ti...
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.
A crowdsourced distributed cluster for AI art and text generation
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
The current, performant & industrial strength version of Holochain on Rust.
A Golang based high performance, scalable and distributed workflow framework
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
An On-Chain Open-Source Platform for Rapid AI Model Productization Using Decentralized Resources with Flexibility and Scalability
Scheduler for sub-node tasks for HPC systems with batch scheduling
Training and serving large-scale neural networks with auto parallelization.
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
An On-Chain Open-Source Platform for Rapid AI Model Productization Using Decentralized Resources with Flexibility and Scalability
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of ti...
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
A crowdsourced distributed cluster for AI art and text generation
Scheduler for sub-node tasks for HPC systems with batch scheduling
Automate code & data workflows with interactive Elixir notebooks
The current, performant & industrial strength version of Holochain on Rust.
A Golang based high performance, scalable and distributed workflow framework
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
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.
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Training and serving large-scale neural networks with auto parallelization.
Making large AI models cheaper, faster and more accessible
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
Making large AI models cheaper, faster and more accessible
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
Automate code & data workflows with interactive Elixir notebooks
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of ti...
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.
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
A Golang based high performance, scalable and distributed workflow framework
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
A crowdsourced distributed cluster for AI art and text generation
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
The current, performant & industrial strength version of Holochain on Rust.
Training and serving large-scale neural networks with auto parallelization.
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
An On-Chain Open-Source Platform for Rapid AI Model Productization Using Decentralized Resources with Flexibility and Scalability
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
😇 A Docker Compose bundle to run on servers with spare CPU, RAM, disk, and bandwidth to help the world. Includes Tor, ArchiveWarrior, BOINC, and more...
A Golang based high performance, scalable and distributed workflow framework
A crowdsourced distributed cluster for AI art and text generation
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of ti...
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
The current, performant & industrial strength version of Holochain on Rust.
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
Automate code & data workflows with interactive Elixir notebooks
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Scheduler for sub-node tasks for HPC systems with batch scheduling
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
Making large AI models cheaper, faster and more accessible
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
An On-Chain Open-Source Platform for Rapid AI Model Productization Using Decentralized Resources with Flexibility and Scalability
zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of ti...
Automate code & data workflows with interactive Elixir notebooks
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
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
A crowdsourced distributed cluster for AI art and text generation
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Modern web-based distributed hashcracking solution, built on hashcat
MooseFS Distributed Storage – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System / Software-Defined Storage
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
An On-Chain Open-Source Platform for Rapid AI Model Productization Using Decentralized Resources with Flexibility and Scalability
Modern web-based distributed hashcracking solution, built on hashcat
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
Unlock Unlimited Potential! Share Your GPU Power Across Your Local Network!
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
A tool to determine optimal projects for Gridcoin & BOINC crunchers. Maximize your magnitude!
zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of ti...
😇 A Docker Compose bundle to run on servers with spare CPU, RAM, disk, and bandwidth to help the world. Includes Tor, ArchiveWarrior, BOINC, and more...
Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.
The default client software to create images for the AI-Horde
Golf is a programming language, framework and application server for high-performance web services and web applications, with focus on simplicity and memory safety..
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
[NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
An On-Chain Open-Source Platform for Rapid AI Model Productization Using Decentralized Resources with Flexibility and Scalability
Unlock Unlimited Potential! Share Your GPU Power Across Your Local Network!
Golf is a programming language, framework and application server for high-performance web services and web applications, with focus on simplicity and memory safety..
Making large AI models cheaper, faster and more accessible
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
Automate code & data workflows with interactive Elixir notebooks
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of ti...
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.
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
A list of papers about distributed consensus.
A crowdsourced distributed cluster for AI art and text generation
A Golang based high performance, scalable and distributed workflow framework
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
An understandable, fast and scalable Raft Consensus implementation
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
Golf is a programming language, framework and application server for high-performance web services and web applications, with focus on simplicity and memory safety..
Modern web-based distributed hashcracking solution, built on hashcat
A Web Crawler based on LLMs implemented with Ray and Huggingface. The embeddings are saved into a vector database for fast clustering and retrieval. Use it for your RAG.
Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
The default client software to create images for the AI-Horde
Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.
Python dictionary with Redis as backend, built for large datasets. Simplifies Redis operations for large-scale and distributed systems. Supports various data types, namespacing, pipelining, and expira...
