Alternatives and similar repositories for pytorchpruner

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

• BayesWatch / pytorch-blockswap
  Code for BlockSwap (ICLR 2020).
  ☆33Updated 4 years ago
• lottery-ticket / rewinding-iclr20-public
  ☆69Updated 5 years ago
• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 5 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• JiJingYu / delta_orthogonal_init_pytorch
  Delta Orthogonal Initialization for PyTorch
  ☆18Updated 7 years ago
• alecwangcq / EigenDamage-Pytorch
  Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
  ☆113Updated 5 years ago
• BayesWatch / deficient-efficient
  Successfully training approximations to full-rank matrices for efficiency in deep learning.
  ☆17Updated 4 years ago
• yanivbl6 / quantized_meanfield
  This repository provides code source used in the paper: A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off
  ☆13Updated 6 years ago
• XinDongol / DNNAC
  All about acceleration and compression of Deep Neural Networks
  ☆33Updated 5 years ago
• NVlabs / unas
  Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral
  ☆61Updated 2 years ago
• noahgolmant / pytorch-lars
  "Layer-wise Adaptive Rate Scaling" in PyTorch
  ☆87Updated 4 years ago
• kcyu2014 / eval-nas
  PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
  ☆49Updated 5 years ago
• yanghr / DeepHoyer
  DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
  ☆32Updated 5 years ago
• team-approx-bayes / BayesBiNN
  Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule
  ☆39Updated 3 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• naszilla / nas-encodings
  Encodings for neural architecture search
  ☆29Updated 4 years ago
• BayesWatch / pytorch-moonshine
  Cheap distillation for convolutional neural networks.
  ☆33Updated 7 years ago
• haolibai / APS-channel-search
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆21Updated 4 years ago
• keivanalizadeh / ButterflyTransform
  ☆41Updated 4 years ago
• allenai / dnw
  Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)
  ☆136Updated 5 years ago
• vinbhaskara / adams
  Exploiting Uncertainty of Loss Landscape for Stochastic Optimization
  ☆15Updated 6 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆77Updated 7 years ago
• realityengines / local_search
  Local search for NAS
  ☆18Updated 4 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆29Updated 5 years ago
• IST-DASLab / WoodFisher
  Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)
  ☆53Updated 4 years ago
• AnjieCheng / Fast-ImageNet-Dataloader
  A fast data loader for ImageNet on PyTorch.
  ☆18Updated 6 years ago
• kcyu2014 / multi-model-forgetting
  ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting
  ☆14Updated 6 years ago
• GATECH-EIC / Early-Bird-Tickets
  [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
  ☆139Updated 4 years ago
• owruby / shake-drop_pytorch
  PyTorch implementation of shake-drop regularization
  ☆55Updated 5 years ago
• xiaomi-automl / MixPath
  MixPath: A Unified Approach for One-shot Neural Architecture Search
  ☆29Updated 5 years ago