Alternatives and similar repositories for torchshard

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

• PhilJd / contiguous_pytorch_params
  Accelerate training by storing parameters in one contiguous chunk of memory.
  ☆293Updated 5 years ago
• NVIDIA / PyProf
  A GPU performance profiling tool for PyTorch models
  ☆509Updated 4 years ago
• ppwwyyxx / RAM-multiprocess-dataloader
  Demystify RAM Usage in Multi-Process Data Loaders
  ☆204Updated 2 years ago
• ucbrise / actnn
  ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
  ☆199Updated 2 years ago
• pytorch / nestedtensor
  [Prototype] Tools for the concurrent manipulation of variably sized Tensors.
  ☆251Updated 3 years ago
• utsaslab / MONeT
  MONeT framework for reducing memory consumption of DNN training
  ☆174Updated 4 years ago
• seba-1511 / dist_tuto.pth
  Official code for "Writing Distributed Applications with PyTorch", PyTorch Tutorial
  ☆264Updated 2 years ago
• awwong1 / torchprof
  PyTorch layer-by-layer model profiler
  ☆608Updated 4 years ago
• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆277Updated 3 years ago
• cybertronai / pytorch-lamb
  Implementation of https://arxiv.org/abs/1904.00962
  ☆377Updated 4 years ago
• TezRomacH / layer-to-layer-pytorch
  PyTorch implementation of L2L execution algorithm
  ☆109Updated 2 years ago
• pytorch / torchdistx
  Torch Distributed Experimental
  ☆117Updated last year
• ptillet / torch-blocksparse
  Block-sparse primitives for PyTorch
  ☆160Updated 4 years ago
• prigoyal / pytorch_memonger
  Experimental ground for optimizing memory of pytorch models
  ☆366Updated 7 years ago
• microsoft / infinibatch
  Efficient, check-pointed data loading for deep learning with massive data sets.
  ☆210Updated 2 years ago
• kakaobrain / torchgpipe
  A GPipe implementation in PyTorch
  ☆858Updated last year
• NVlabs / tensorcom
  ☆108Updated 4 years ago
• mit-han-lab / hardware-aware-transformers
  [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
  ☆336Updated last year
• zhijian-liu / torchprofile
  A general and accurate MACs / FLOPs profiler for PyTorch models
  ☆631Updated 4 months ago
• facebookresearch / bitsandbytes
  Library for 8-bit optimizers and quantization routines.
  ☆779Updated 3 years ago
• DeMoriarty / TorchPQ
  Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda
  ☆229Updated last year
• pytorch / tensorpipe
  A tensor-aware point-to-point communication primitive for machine learning
  ☆275Updated 3 weeks ago
• 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 months ago
• mlcommons / training_results_v0.7
  This repository contains the results and code for the MLPerf™ Training v0.7 benchmark.
  ☆57Updated 2 years ago
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆550Updated 4 years ago
• justheuristic / prefetch_generator
  Simple package that makes your generator work in background thread
  ☆282Updated 3 years ago
• jianweif / OptimalGradCheckpointing
  ☆41Updated 4 years ago
• pytorch / ort
  Accelerate PyTorch models with ONNX Runtime
  ☆367Updated 9 months ago
• snuspl / nimble
  Lightweight and Parallel Deep Learning Framework
  ☆263Updated 3 years ago
• meta-pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆161Updated 2 months ago