Alternatives and similar repositories for Optimus

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

• zhuohan123 / terapipe
  ☆77Updated 4 years ago
• HPDL-Group / Merak
  ☆81Updated 7 months ago
• saareliad / FTPipe
  FTPipe and related pipeline model parallelism research.
  ☆43Updated 2 years ago
• ParCIS / Chimera
  Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.
  ☆69Updated 9 months ago
• awslabs / raf
  ☆145Updated 10 months ago
• stanford-futuredata / stk
  ☆115Updated last year
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆123Updated last year
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆174Updated this week
• DachengLi1 / AMP
  (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.
  ☆43Updated 3 years ago
• parasj / checkmate
  Training neural networks in TensorFlow 2.0 with 5x less memory
  ☆137Updated 3 years ago
• spcl / substation
  Research and development for optimizing transformers
  ☆131Updated 4 years ago
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆230Updated 2 years ago
• uwsampl / dtr-prototype
  Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616
  ☆133Updated 2 years ago
• awslabs / lorien
  ☆42Updated 2 years ago
• cmu-catalyst / collage
  System for automated integration of deep learning backends.
  ☆47Updated 3 years ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆135Updated 6 months ago
• nox-410 / tvm.tl
  An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.
  ☆51Updated last year
• awslabs / slapo
  A schedule language for large model training
  ☆151Updated 4 months ago
• thu-pacman / PET
  PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections
  ☆122Updated 3 years ago
• exists-forall / striped_attention
  ☆44Updated 2 years ago
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆219Updated last year
• AlibabaPAI / DAPPLE
  An Efficient Pipelined Data Parallel Approach for Training Large Model
  ☆76Updated 5 years ago
• deepspeedai / DeepSpeed-Kernels
  ☆71Updated 8 months ago
• Youhe-Jiang / IJCAI2023-OptimalShardedDataParallel
  [IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any inte…
  ☆52Updated 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
• yifuwang / symm-mem-recipes
  ☆151Updated 11 months ago
• LiuXiaoxuanPKU / GACT-ICML
  ☆43Updated 3 years ago
• RulinShao / FastCkpt
  Python package for rematerialization-aware gradient checkpointing
  ☆26Updated 2 years ago
• anyscale / llm-continuous-batching-benchmarks
  ☆122Updated last year
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆276Updated 5 months ago