Trending repositories for topic distributed-computing
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
Making large AI models cheaper, faster and more accessible
An On-Chain Open-Source Platform for Rapid AI Model Productization Using Decentralized Resources with Flexibility and Scalability
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
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.
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
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...
The current, performant & industrial strength version of Holochain on Rust.
Automate code & data workflows with interactive Elixir notebooks
Post-money economy simulator in the form of a free fictional game based on gift economy that tests the hypothesis of having a market system without any exchange be it barters or money.
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
An On-Chain Open-Source Platform for Rapid AI Model Productization Using Decentralized Resources with Flexibility and Scalability
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
Post-money economy simulator in the form of a free fictional game based on gift economy that tests the hypothesis of having a market system without any exchange be it barters or money.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
The current, performant & industrial strength version of Holochain on Rust.
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
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...
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
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.
Making large AI models cheaper, faster and more accessible
Automate code & data workflows with interactive Elixir notebooks
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
Making large AI models cheaper, faster and more accessible
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...
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.
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
Automate code & data workflows with interactive Elixir notebooks
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
A crowdsourced distributed cluster for AI art and text generation
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Modern web-based distributed hashcracking solution, built on hashcat
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
MooseFS Distributed Storage – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System / Software-Defined Storage
The current, performant & industrial strength version of Holochain on Rust.
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
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
Post-money economy simulator in the form of a free fictional game based on gift economy that tests the hypothesis of having a market system without any exchange be it barters or money.
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...
Cloud provider cluster managers for Dask. Supports AWS, Google Cloud Azure and more...
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
A crowdsourced distributed cluster for AI art and text generation
A curated list of awesome Distributed Deep Learning resources.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
A computation-centric distributed graph processing system.
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
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.
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
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
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
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
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
An On-Chain Open-Source Platform for Rapid AI Model Productization Using Decentralized Resources with Flexibility and Scalability
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
Modern web-based distributed hashcracking solution, built on hashcat
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...
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Unlock Unlimited Potential! Share Your GPU Power Across Your Local Network!
[NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
A tool to determine optimal projects for Gridcoin & BOINC crunchers. Maximize your magnitude!
the small distributed language model toolkit; fine-tune state-of-the-art LLMs anywhere, rapidly
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 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.
This project was a joint effort by Lucas De Oliveira, Chandrish Ambati, and Anish Mukherjee to create a song and playlist embeddings for recommendations in a distributed fashion using a 1M playlist da...
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
A list of papers about distributed consensus.
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
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
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.
Golf is a programming language, framework and application server for high-performance web services and web applications, with focus on simplicity and memory safety..
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.
The default client software to create images for the AI-Horde
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
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...
the small distributed language model toolkit; fine-tune state-of-the-art LLMs anywhere, rapidly