Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
Parallel computing with task scheduling
- dask
- python
- pydata
- numpy
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- bloom
- deep-learning
- distributed-systems
- language-models
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more
Apache Beam is a unified programming model for Batch and Streaming data processing.
- python
- java
- big-data
- beam
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
- hazelcast
- in-memory
- big-data
A unified ecosystem and workspace for large-scale federated learning, bridging the gap between centralized model evolution and decentralized edge intelligence.
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
- distributed-computing
- map-reduce
- golang
- distributed-systems
Glow is an easy-to-use distributed computation system written in Go, similar to Hadoop Map Reduce, Spark, Flink, Storm, etc. I am also working on another similar pure Go system, https://github.com/chrislusf/gleam , which is more flexible and more performant.
Python Stream Processing
- python
- stream-processing
- rust
- data-engineering
Distributed Stream Processing
- stream-processing
- stream-processor
- stream-processing-engine
- pony-language
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
- adaptive-learning
- machine-learning
- python
- live-plots
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
The repository host gives no description.
- hacktoberfest
Haskell on Apache Spark.
- apache-spark
- spark
- haskell
- analytics
Serverless ML Framework
Tuple MapReduce for Hadoop: Hadoop API made easy
The core libraries of the teknek stream processing platform