Statistics for topic distributed-computing
RepositoryStats tracks 631,397 Github repositories, of these 196 are tagged with the distributed-computing topic. The most common primary language for repositories using this topic is Python (64). Other languages include: Go (16), C++ (13), Rust (13), Jupyter Notebook (11)
Stargazers over time for topic distributed-computing
Most starred repositories for topic distributed-computing (view more)
Trending repositories for topic distributed-computing (view more)
Making large AI models cheaper, faster and more accessible
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
A crowdsourced distributed cluster for AI art and text generation
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
Ganga is an easy-to-use frontend for job definition and management
A crowdsourced distributed cluster for AI art and text generation
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support i...
Making large AI models cheaper, faster and more accessible
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
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
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
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
[NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
Ganga is an easy-to-use frontend for job definition and management
Making large AI models cheaper, faster and more accessible
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Distributed data engine for Python/SQL designed for the cloud, powered by Rust
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Scheduler for sub-node tasks for HPC systems with batch scheduling
Scheduler for sub-node tasks for HPC systems with batch scheduling
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
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
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
[NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
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.
An understandable, fast and scalable Raft Consensus implementation
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
