Statistics for topic distributed-computing
RepositoryStats tracks 634,561 Github repositories, of these 198 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
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Making large AI models cheaper, faster and more accessible
Modern web-based distributed hashcracking solution, built on hashcat
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
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
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
Run serverless GPU workloads with fast cold starts on bare-metal servers, anywhere in the world
An On-Chain Open-Source Platform for Rapid AI Model Productization Using Decentralized Resources with Flexibility and Scalability
Making large AI models cheaper, faster and more accessible
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.
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
Modern web-based distributed hashcracking solution, built on hashcat
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.
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
An On-Chain Open-Source Platform for Rapid AI Model Productization Using Decentralized Resources with Flexibility and Scalability
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
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...
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
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
Modern web-based distributed hashcracking solution, built on hashcat
