Alternatives and similar repositories for torchnnprofiler

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

• pytorch / torchdistx
  Torch Distributed Experimental
  ☆116Updated 11 months ago
• pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆158Updated 3 weeks ago
• lernapparat / torchhacks
  Hacks for PyTorch
  ☆19Updated 2 years ago
• pytorch-labs / torchfix
  TorchFix - a linter for PyTorch-using code with autofix support
  ☆143Updated 5 months ago
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆46Updated 11 months ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆64Updated last year
• rasbt / cyclemoid-pytorch
  Cyclemoid implementation for PyTorch
  ☆90Updated 3 years ago
• lessw2020 / transformer_central
  Various transformers for FSDP research
  ☆37Updated 2 years ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆79Updated last year
• andravin / spio
  Memory-Efficient CUDA kernels for training ConvNets with PyTorch.
  ☆42Updated 4 months ago
• ezyang / torchdbg
  PyTorch centric eager mode debugger
  ☆47Updated 7 months ago
• softmax1 / Flash-Attention-Softmax-N
  CUDA and Triton implementations of Flash Attention with SoftmaxN.
  ☆70Updated last year
• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆270Updated 3 years ago
• MathInf / toroidal
  a lightweight transformer library for PyTorch
  ☆72Updated 3 years ago
• FrancescoSaverioZuppichini / pytorch-2.0-benchmark
  Benchmarking PyTorch 2.0 different models
  ☆21Updated 2 years ago
• drisspg / transformer_nuggets
  A place to store reusable transformer components of my own creation or found on the interwebs
  ☆56Updated last week
• fidelity / stoke
  A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-…
  ☆67Updated last year
• 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…
  ☆180Updated last week
• stas00 / ml-ways
  ML/DL Math and Method notes
  ☆61Updated last year
• AminRezaei0x443 / memory-efficient-attention
  Memory Efficient Attention (O(sqrt(n)) for Jax and PyTorch
  ☆184Updated 2 years ago
• jiaweizzhao / ZerO-initialization
  ☆74Updated 2 years ago
• FrancescoSaverioZuppichini / Loading-huge-PyTorch-models-with-linear-memory-consumption
  Little article showing how to load pytorch's models with linear memory consumption
  ☆34Updated 2 years ago
• graphcore-research / unit-scaling
  A library for unit scaling in PyTorch
  ☆125Updated 7 months ago
• facebookexperimental / protoquant
  Prototype routines for GPU quantization written using PyTorch.
  ☆21Updated 5 months ago
• Lightning-Universe / Training-Studio_app
  Lightning HPO & Training Studio App
  ☆18Updated 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
• HomebrewML / HomebrewNLP-torch
  A case study of efficient training of large language models using commodity hardware.
  ☆68Updated 2 years ago
• rasbt / pytorch-memory-optim
  This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog po…
  ☆92Updated 2 years ago
• cloneofsimo / min-fsdp
  ☆79Updated last year
• pytorch / rfcs
  PyTorch RFCs (experimental)
  ☆133Updated last month