Alternatives and similar repositories for torchprofile

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

• 1adrianb / pytorch-estimate-flops
  Estimate/count FLOPS for a given neural network using pytorch
  ☆306Updated 3 years ago
• ucbrise / actnn
  ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
  ☆200Updated 2 years ago
• JJGO / shrinkbench
  PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
  ☆431Updated 2 years ago
• awwong1 / torchprof
  PyTorch layer-by-layer model profiler
  ☆606Updated 4 years ago
• aojunzz / NM-sparsity
  ☆241Updated 2 years ago
• NVIDIA / PyProf
  A GPU performance profiling tool for PyTorch models
  ☆505Updated 4 years ago
• kaiyuyue / torchshard
  Slicing a PyTorch Tensor Into Parallel Shards
  ☆301Updated 3 months ago
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆281Updated last year
• Tiiiger / QPyTorch
  Low Precision Arithmetic Simulation in PyTorch
  ☆285Updated last year
• NVlabs / Taylor_pruning
  Pruning Neural Networks with Taylor criterion in Pytorch
  ☆319Updated 5 years ago
• idstcv / ZenNAS
  ☆227Updated 4 years ago
• chrischoy / pytorch-custom-cuda-tutorial
  Tutorial for building a custom CUDA function for Pytorch
  ☆520Updated 6 years ago
• MingSun-Tse / Efficient-Deep-Learning
  Collection of recent methods on (deep) neural network compression and acceleration.
  ☆953Updated 6 months ago
• csyhhu / Awesome-Deep-Neural-Network-Compression
  Summary, Code for Deep Neural Network Quantization
  ☆554Updated 3 months ago
• mit-han-lab / hardware-aware-transformers
  [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
  ☆335Updated last year
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆282Updated 4 years ago
• ppwwyyxx / RAM-multiprocess-dataloader
  Demystify RAM Usage in Multi-Process Data Loaders
  ☆201Updated 2 years ago
• JiahuiYu / slimmable_networks
  Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
  ☆926Updated 2 years ago
• lucaslie / torchprune
  A research library for pytorch-based neural network pruning, compression, and more.
  ☆163Updated 2 years ago
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆450Updated 2 years ago
• cedrickchee / awesome-ml-model-compression
  Awesome machine learning model compression research papers, quantization, tools, and learning material.
  ☆539Updated last year
• prigoyal / pytorch_memonger
  Experimental ground for optimizing memory of pytorch models
  ☆366Updated 7 years ago
• frgfm / torch-scan
  Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)
  ☆222Updated 6 months ago
• walkerning / aw_nas
  aw_nas: A Modularized and Extensible NAS Framework
  ☆250Updated 2 years ago
• kakaobrain / torchgpipe
  A GPipe implementation in PyTorch
  ☆855Updated last year
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆262Updated 2 years ago
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆277Updated 9 months ago
• mit-han-lab / haq
  [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
  ☆397Updated 4 years ago
• facebookresearch / AttentiveNAS
  code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"
  ☆105Updated 4 years ago
• PhilJd / contiguous_pytorch_params
  Accelerate training by storing parameters in one contiguous chunk of memory.
  ☆291Updated 4 years ago