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Making large AI models cheaper, faster and more accessible
ai deep-learning hpc distributed-computing inference big-model large-scale data-parallelism model-parallelism pipeline-parallelism foundation-models heterogeneous-training
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
go distributed-systems machine-learning awesome deep-learning postgresql distributed-computing distributed-database
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.
java caching distributed-systems real-time big-data hazelcast scalability distributed-computing distributed stream-processing in-memory low-latency hacktoberfest data-insights data-in-motion
Automate code & data workflows with interactive Elixir notebooks
visualization markdown charts elixir phoenix math realtime distributed-computing collaborative notebooks liveview
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
python rust distributed-systems machine-learning big-data etl arrow distributed-computing distributed embeddings artificial-intelligence data-engineering parquet ray iceberg multimodal ai-pipeline huggingface ai-engineering
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
go golang distributed-systems actors akka protobuf cross-platform clustering actor-model distributed-computing grpc
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
machine-learning control reinforcement-learning ai robotics decision-making distributed-computing torch pytorch rl model-based-reinforcement-learning multi-agent-reinforcement-learning marl
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
python rust machine-learning sql big-data spark apache-spark arrow distributed-computing artificial-intelligence pyspark data-engineering parquet iceberg spark-sql apache-iceberg delta-lake datafusion lakehouse spark-connect
Accelerated deep learning R&D
python infrastructure machine-learning natural-language-processing information-retrieval research reinforcement-learning computer-vision deep-learning text-classification distributed-computing image-processing pytorch image-classification metric-learning recommender-system object-detection image-segmentation reproducibility text-segmentation
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.
rust iot distributed-systems embedded networking robotics storage protocol messaging distributed-computing rust-lang distributed-storage network-programming ros2 edge-computing zenoh geo-distributed-storages
Training and serving large-scale neural networks with auto parallelization.
machine-learning deep-learning compiler distributed-computing high-performance-computing distributed-training jax alpa auto-parallelization llm
Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
A toolkit to run Ray applications on Kubernetes
kubernetes machine-learning deep-learning distributed-computing orchestration artificial-intelligence ray
A list of papers about distributed consensus.
distributed-systems replication consistency fault-tolerance distributed-computing zookeeper paxos state-machine-replication atomic-broadcast-protocol consensus-algorithms quorum-systems
Open-source software for volunteer computing and grid computing.
android kotlin java php science c-plus-plus distributed-computing scientific-computing high-performance-computing boinc citizen-science hacktoberfest volunteer-computing grid-computing high-throughput-computing
Bare bone examples of machine learning in TensorFlow
big-data simple tensorflow linear-regression distributed-computing tensorflow-tutorials tensorflow-exercises tensorflow-examples
Microsoft Graph Engine
dotnet distributed-computing in-memory-storage graph-engine in-memory-computations graph-query-language
Master Federated Learning in 2 Hours—Run It on Your PC!
python iot privacy attack distributed-computing pytorch personalization imagenet differential-privacy privacy-protection heterogeneity federated-learning dlg non-iid domainnet
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
distributed-systems machine-learning sql spark distributed-computing pandas distributed dask data-practitioners
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