Eventual-Inc/Daft
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
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High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Automate code & data workflows with interactive Elixir notebooks
Ultrafast serverless GPU inference, sandboxes, and background jobs
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 time and space efficiency that is well beyond any of the mainstream stacks.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
Open-source software for volunteer computing and grid computing.
Connect threads, processes, hosts, and languages without a broker.
A crowdsourced distributed cluster for AI art and text generation
A toolkit to run Ray applications on Kubernetes
Library for bringing distributed capabilities to Apache DataFusion
Self-hosted AI agent OS. Your memory, chat, agents, and files stay on hardware you own, offline by default, cloud by choice. Offline AI memory (taOSmd), self-hosted multi-framework group chat, a full web desktop + app store, and auto-clustering across the consumer hardware you already have (Orange/Raspberry Pi, Mac mini, gaming PC).
Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
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 library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Modern C++ actor framework based on std::execution, only requires C++20 - Turns your class into async service.
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 including CUDA GPU, ROCm GPU, Gaudi NPU, Google TPU, GraphCore IPU and other NPUs.
The current, performant & industrial strength version of Holochain on Rust.
ScaleCube Cluster is a lightweight Java VM implementation of SWIM: Scalable Weakly-consistent Infection-style Process Group Membership Protocol. features cluster membership, failure detection, and gossip protocol library
User-friendly Scheduler for sub-node tasks for HPC systems
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
a Productive Parallel Programming Language
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
Distributed Stockfish analysis for lichess.org
A distributed task scheduler for Dask
Scalable array processing with bounded memory
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Making large AI models cheaper, faster and more accessible
That's all 29 repositories in this period.