Alternatives and similar repositories for G-SLIDE

Users that are interested in G-SLIDE are comparing it to the libraries listed below

• Distributed-AI / PipeTransformer
  PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021
  ☆56Updated 4 years ago
• spcl / substation
  Research and development for optimizing transformers
  ☆131Updated 4 years ago
• petuum / autodist
  Simple Distributed Deep Learning on TensorFlow
  ☆134Updated 6 months ago
• HazyResearch / mongoose
  A Learnable LSH Framework for Efficient NN Training
  ☆33Updated 4 years ago
• epfml / powersgd
  Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727
  ☆149Updated last year
• Harry-Chen / InfMoE
  Inference framework for MoE layers based on TensorRT with Python binding
  ☆41Updated 4 years ago
• apd10 / universal_memory_allocation
  ☆15Updated 3 years ago
• facebookresearch / FBTT-Embedding
  This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as …
  ☆194Updated 3 years ago
• guanh01 / CS692-mlsys
  This is the (evolving) reading list for the seminar.
  ☆61Updated 5 years ago
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆122Updated last year
• hpcaitech / CachedEmbedding
  A memory efficient DLRM training solution using ColossalAI
  ☆106Updated 3 years ago
• stanford-futuredata / stk
  ☆115Updated last year
• graphcore / tutorials
  Training material for IPU users: tutorials, feature examples, simple applications
  ☆87Updated 2 years ago
• facebookresearch / dlrm_datasets
  Set of datasets for the deep learning recommendation model (DLRM).
  ☆48Updated 2 years ago
• ray-project / distml
  Distributed ML Optimizer
  ☆34Updated 4 years ago
• chentingpc / dpq_embedding_compression
  Differentiable Product Quantization for End-to-End Embedding Compression.
  ☆64Updated 2 years ago
• parasj / checkmate
  Training neural networks in TensorFlow 2.0 with 5x less memory
  ☆137Updated 3 years ago
• K-Wu / pytorch-direct_dgl
  Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)
  ☆44Updated 2 years ago
• huggingface / block_movement_pruning
  Block Sparse movement pruning
  ☆81Updated 5 years ago
• uwsampl / dtr-prototype
  Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616
  ☆133Updated 2 years ago
• ModelTC / awesome-lm-system
  Summary of system papers/frameworks/codes/tools on training or serving large model
  ☆57Updated 2 years ago
• exists-forall / striped_attention
  ☆44Updated 2 years ago
• facebookresearch / fairring
  Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …
  ☆65Updated 3 years ago
• lzhangbv / dear_pytorch
  [ICDCS 2023] DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining
  ☆12Updated 2 years ago
• jianweif / OptimalGradCheckpointing
  ☆41Updated 4 years ago
• cgtuebingen / ggnn
  GGNN: State of the Art Graph-based GPU Nearest Neighbor Search
  ☆166Updated 10 months ago
• marsupialtail / sparsednn
  Fast sparse deep learning on CPUs
  ☆56Updated 3 years ago
• kssteven418 / BigLittleDecoder
  [NeurIPS'23] Speculative Decoding with Big Little Decoder
  ☆95Updated last year
• xinyandai / product-quantization
  Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner P…
  ☆59Updated 4 years ago
• saareliad / FTPipe
  FTPipe and related pipeline model parallelism research.
  ☆43Updated 2 years ago