Trending repositories for topic distributed-computing
Making large AI models cheaper, faster and more accessible
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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.
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
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
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
A Golang based high performance, scalable and distributed workflow framework
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
IDDM (Industrial, landscape, animate, spectrogram...), support DDPM, DDIM, PLMS, webui and multi-GPU distributed training. Pytorch实现，生成模型，扩散模型，分布式训练
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
IDDM (Industrial, landscape, animate, spectrogram...), support DDPM, DDIM, PLMS, webui and multi-GPU distributed training. Pytorch实现，生成模型，扩散模型，分布式训练
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.
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
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...
A Golang based high performance, scalable and distributed workflow framework
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
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
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
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
Making large AI models cheaper, faster and more accessible
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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 Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
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.
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
A Golang based high performance, scalable and distributed workflow framework
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
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
The current, performant & industrial strength version of Holochain on Rust.
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
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
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
IDDM (Industrial, landscape, animate, spectrogram...), support DDPM, DDIM, PLMS, webui and multi-GPU distributed training. Pytorch实现，生成模型，扩散模型，分布式训练
The default client software to create images for the AI-Horde
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
A Golang based high performance, scalable and distributed workflow framework
Scheduler for sub-node tasks for HPC systems with batch scheduling
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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.
[NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
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.
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
Making large AI models cheaper, faster and more accessible
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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.
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
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
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.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Gliimly is a new programming language and framework for writing high-performance web services and web applications, with focus on simplicity.
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
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
A list of papers about distributed consensus.
MooseFS Distributed Storage – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System / Software-Defined Storage
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
A crowdsourced distributed cluster for AI art and text generation
Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Gliimly is a new programming language and framework for writing high-performance web services and web applications, with focus on simplicity.
Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
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.
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
[NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
🔨 使用Spark/Pytorch实现分布式算法，包括图/矩阵计算（graph/matrix computation）、随机算法、优化（optimization）和机器学习。参考刘铁岩《分布式机器学习》和CME 323课程
IDDM (Industrial, landscape, animate, spectrogram...), support DDPM, DDIM, PLMS, webui and multi-GPU distributed training. Pytorch实现，生成模型，扩散模型，分布式训练
The default client software to create images for the AI-Horde
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
📦 Collect some Asynchronous Federated Learning papers.
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
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.
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...
A virtual, fully-asynchronous, Tuple Space implementation backed by Orleans.
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.
[NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
Unlock Unlimited Potential! Share Your GPU Power Across Your Local Network!
Gliimly is a new programming language and framework for writing high-performance web services and web applications, with focus on simplicity.
the small distributed language model toolkit; fine-tune state-of-the-art LLMs anywhere, rapidly
Making large AI models cheaper, faster and more accessible
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.
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
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.
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
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
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
The current, performant & industrial strength version of Holochain on Rust.
A list of papers about distributed consensus.
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
A crowdsourced distributed cluster for AI art and text generation
A Golang based high performance, scalable and distributed workflow framework
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
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.
The default client software to create images for the AI-Horde
An understandable, fast and scalable Raft Consensus implementation
Modern web-based distributed hashcracking solution, built on hashcat
Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.
Unchained is a decentralized, federated network for data indexing, validation, analysis, processing, and delivery.
IDDM (Industrial, landscape, animate, spectrogram...), support DDPM, DDIM, PLMS, webui and multi-GPU distributed training. Pytorch实现，生成模型，扩散模型，分布式训练
Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
Gliimly is a new programming language and framework for writing high-performance web services and web applications, with focus on simplicity.
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
A next-generation dynamic and high-performance language for AI and IOT with natural born distributed computing ability.
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
