Alternatives and similar repositories for octoml-profile

Users that are interested in octoml-profile are comparing it to the libraries listed below

• meta-pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆162Updated 3 weeks ago
• awslabs / slapo
  A schedule language for large model training
  ☆152Updated 4 months 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
• cchan / tccl
  extensible collectives library in triton
  ☆91Updated 9 months ago
• pytorch / tensorpipe
  A tensor-aware point-to-point communication primitive for machine learning
  ☆282Updated 3 weeks ago
• awslabs / lorien
  ☆42Updated 2 years ago
• pytorch / rfcs
  PyTorch RFCs (experimental)
  ☆136Updated 7 months ago
• awslabs / raf
  ☆145Updated 11 months ago
• intel / torch-ccl
  oneCCL Bindings for Pytorch* (deprecated)
  ☆104Updated 2 weeks ago
• NVIDIA / Fuser
  A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")
  ☆368Updated this week
• CentML / DeepView.Profile
  🏙 Interactive performance profiling and debugging tool for PyTorch neural networks.
  ☆64Updated 11 months ago
• facebookresearch / HolisticTraceAnalysis
  A library to analyze PyTorch traces.
  ☆454Updated 3 weeks ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆218Updated this week
• meta-pytorch / tlparse
  TORCH_LOGS parser for PT2
  ☆70Updated 2 weeks ago
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆62Updated this week
• NVIDIA / nvidia-resiliency-ext
  NVIDIA Resiliency Extension is a python package for framework developers and users to implement fault-tolerant features. It improves the …
  ☆247Updated this week
• deepspeedai / DeepSpeed-Kernels
  ☆71Updated 9 months ago
• anyscale / llm-continuous-batching-benchmarks
  ☆123Updated last year
• meta-pytorch / multipy
  torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…
  ☆182Updated 3 weeks 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 this week
• Jokeren / triton-samples
  ☆28Updated 11 months ago
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆123Updated last year
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆312Updated 4 months ago
• mlcommons / training_results_v1.0
  This repository contains the results and code for the MLPerf™ Training v1.0 benchmark.
  ☆36Updated last year
• meta-pytorch / BackendBench
  Ship correct and fast LLM kernels to PyTorch
  ☆130Updated this week
• 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…
  ☆411Updated this week
• albanD / subclass_zoo
  ☆187Updated last year
• cmu-catalyst / collage
  System for automated integration of deep learning backends.
  ☆47Updated 3 years ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆270Updated last week
• jax-ml / ml_dtypes
  A stand-alone implementation of several NumPy dtype extensions used in machine learning.
  ☆325Updated last week