Alternatives and similar repositories for distributed-embeddings

Users that are interested in distributed-embeddings are comparing it to the libraries listed below

• NVIDIA-Merlin / HierarchicalKV
  HierarchicalKV is a part of NVIDIA Merlin and provides hierarchical key-value storage to meet RecSys requirements. The key capability of…
  ☆189Updated 2 months ago
• pytorch / tensorpipe
  A tensor-aware point-to-point communication primitive for machine learning
  ☆283Updated last month
• NVIDIA / nvtx-plugins
  Python bindings for NVTX
  ☆67Updated 2 years ago
• ezyang / nvprof2json
  Convert nvprof profiles into about:tracing compatible JSON files
  ☆73Updated 4 years ago
• rapidsai / wholegraph
  WholeGraph - large scale Graph Neural Networks
  ☆106Updated last year
• Funatiq / gossip
  gossip: Efficient Communication Primitives for Multi-GPU Systems
  ☆62Updated 3 years ago
• msr-fiddle / pipedream
  ☆391Updated 3 years ago
• AlibabaPAI / DAPPLE
  An Efficient Pipelined Data Parallel Approach for Training Large Model
  ☆76Updated 5 years ago
• harvard-acc / DeepRecSys
  http://vlsiarch.eecs.harvard.edu/research/recommendation/
  ☆134Updated 3 years ago
• DeepRec-AI / HybridBackend
  A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster
  ☆160Updated last year
• SymbioticLab / Salus
  Fine-grained GPU sharing primitives
  ☆148Updated 6 months 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…
  ☆155Updated last week
• awslabs / raf
  ☆145Updated last year
• petuum / autodist
  Simple Distributed Deep Learning on TensorFlow
  ☆134Updated 7 months ago
• baidu-research / baidu-allreduce
  ☆600Updated 7 years ago
• linnanwang / superneurons-release
  this is the release repository of superneurons
  ☆54Updated 4 years ago
• octoml / octoml-profile
  Home for OctoML PyTorch Profiler
  ☆113Updated 2 years 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
• tensorflow / custom-op
  Guide for building custom op for TensorFlow
  ☆385Updated 2 years ago
• NVIDIA-Merlin / HugeCTR
  HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
  ☆1,041Updated 4 months ago
• triton-inference-server / hugectr_backend
  ☆56Updated 2 years ago
• PersiaML / PERSIA
  High performance distributed framework for training deep learning recommendation models based on PyTorch.
  ☆411Updated 7 months ago
• NVIDIA / nvidia-resiliency-ext
  NVIDIA Resiliency Extension is a python package for framework developers and users to implement fault-tolerant features. It improves the …
  ☆253Updated last week
• yalue / cuda_scheduling_examiner_mirror
  A tool for examining GPU scheduling behavior.
  ☆91Updated last year
• pytorch / rfcs
  PyTorch RFCs (experimental)
  ☆138Updated 8 months ago
• anilshanbhag / gpu-topk
  Efficient Top-K implementation on the GPU
  ☆192Updated 6 years ago
• meta-pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆164Updated 2 weeks ago
• tensorflow / networking
  Enhanced networking support for TensorFlow. Maintained by SIG-networking.
  ☆98Updated 4 years ago
• google-research / sputnik
  A library of GPU kernels for sparse matrix operations.
  ☆283Updated 5 years ago
• yifuwang / symm-mem-recipes
  ☆158Updated last year