Alternatives and similar repositories for enhancements

Users that are interested in enhancements are comparing it to the libraries listed below

• ray-project / mobius
  Mobius is an AI infrastructure platform for distributed online learning, including online sample processing, training and serving.
  ☆99Updated last year
• ray-project / raydp
  RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.
  ☆355Updated this week
• petuum / adaptdl
  Resource-adaptive cluster scheduler for deep learning training.
  ☆450Updated 2 years ago
• ray-project / plasma
  A minimal shared memory object store design
  ☆59Updated 9 years ago
• ray-project / pygloo
  Pygloo provides Python bindings for Gloo.
  ☆22Updated 5 months ago
• ray-project / distml
  Distributed ML Optimizer
  ☆34Updated 4 years ago
• intel / llm-on-ray
  Pretrain, finetune and serve LLMs on Intel platforms with Ray
  ☆131Updated 3 months ago
• meta-pytorch / torchx
  TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…
  ☆407Updated last week
• feature-store / ralf
  ☆31Updated 3 years ago
• pytorch / tensorpipe
  A tensor-aware point-to-point communication primitive for machine learning
  ☆280Updated last week
• rapidsai / ucx-py
  Python bindings for UCX
  ☆140Updated 3 months ago
• mcanini / SysML-reading-list
  Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersectio…
  ☆284Updated 6 months ago
• antgroup / ant-ray
  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. AntRay i…
  ☆160Updated this week
• meta-pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆162Updated this week
• exoshuffle / cloudsort
  Exoshuffle-CloudSort
  ☆27Updated 2 years ago
• ucbrise / hypersched
  Deadline-based hyperparameter tuning on RayTune.
  ☆31Updated 5 years ago
• kubedl-io / morphling
  Automatic tuning for ML model deployment on Kubernetes
  ☆81Updated last year
• petuum / autodist
  Simple Distributed Deep Learning on TensorFlow
  ☆134Updated 6 months ago
• google / nccl-fastsocket
  NCCL Fast Socket is a transport layer plugin to improve NCCL collective communication performance on Google Cloud.
  ☆122Updated 2 years ago
• JiahaoYao / awesome-ray
  Ray - A curated list of resources: https://github.com/ray-project/ray
  ☆76Updated 2 months ago
• exoshuffle / raysort
  ☆15Updated 2 years ago
• ray-project / deltacat
  A portable Multimodal Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to you…
  ☆261Updated this week
• NVIDIA-Merlin / distributed-embeddings
  distributed-embeddings is a library for building large embedding based models in Tensorflow 2.
  ☆46Updated 2 years ago
• facebookresearch / param
  PArametrized Recommendation and Ai Model benchmark is a repository for development of numerous uBenchmarks as well as end to end nets for…
  ☆154Updated 2 weeks ago
• ray-project / ray-educational-materials
  This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.
  ☆451Updated last year
• microsoft / hivedscheduler
  Kubernetes Scheduler for Deep Learning
  ☆261Updated 3 years ago
• elasticdeeplearning / edl
  Elastic Deep Learning for deep learning framework on Kubernetes
  ☆175Updated 2 years ago
• kleveross / ftlib
  Fault-tolerant for DL frameworks
  ☆70Updated 2 years ago
• alibaba / GPU-scheduler-for-deep-learning
  GPU-scheduler-for-deep-learning
  ☆210Updated 5 years ago
• maxpumperla / learning_ray
  Notebooks for the O'Reilly book "Learning Ray"
  ☆340Updated last year