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ray-project / ray

Star 26.9k

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

python java data-science machine-learning reinforcement-learning deep-learning deployment tensorflow optimization parallel pytorch distributed model-selection hyperparameter-optimization ray automl hyperparameter-search serving rllib llm-serving
  • Updated Aug 6, 2023
  • Python

redisson / redisson

Star 21.5k

Redisson - Easy Redis Java client with features of In-Memory Data Grid. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Publish / Subscribe, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate, MyBatis, RPC, local cache ...

java map redis set list queue executor cache scheduler redis-cluster lock session tomcat distributed redis-client hibernate mapreduce distributed-locks spring-cache
  • Updated Aug 3, 2023
  • Java
nni

microsoft / nni

Star 13.1k

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

python data-science machine-learning deep-learning neural-network tensorflow machine-learning-algorithms pytorch distributed hyperparameter-optimization feature-engineering nas bayesian-optimization hyperparameter-tuning automl automated-machine-learning model-compression neural-architecture-search deep-neural-network mlops
  • Updated Aug 3, 2023
  • Python

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