Alternatives and similar repositories for autolrs

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

• facebookresearch / AlphaNet
  AlphaNet Improved Training of Supernet with Alpha-Divergence
  ☆100Updated 4 years ago
• NVlabs / unas
  Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral
  ☆62Updated 2 years ago
• chrundle / biprop
  Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …
  ☆51Updated 3 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• eric8607242 / SGNAS
  [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
  ☆39Updated 3 years ago
• hongyi-zhang / Fixup
  A Re-implementation of Fixed-update Initialization
  ☆155Updated 6 years ago
• angelajiang / SelectiveBackprop
  SelectiveBackprop accelerates training by dynamically prioritizing useful examples with high loss
  ☆32Updated 5 years ago
• taoyang1122 / GradAug
  [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
  ☆94Updated 4 years ago
• cc-hpc-itwm / GradVis
  ☆39Updated 5 years ago
• facebookresearch / NASViT
  code for NASViT
  ☆67Updated 3 years ago
• PiotrDabkowski / torchpwl
  Piecewise Linear Functions (PWL) implementation in PyTorch
  ☆57Updated 3 years ago
• xiangning-chen / DrNAS
  Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"
  ☆43Updated 4 years ago
• human-analysis / MUXConv
  MUXConv: Information Multiplexing in Convolutional Neural Networks (CVPR '20), Pytorch Implementation
  ☆52Updated 4 years ago
• pclucas14 / adaptive-quantization-modules
  Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
  ☆27Updated 5 years ago
• VITA-Group / AsViT
  [ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wa…
  ☆76Updated 3 years ago
• owruby / shake-drop_pytorch
  PyTorch implementation of shake-drop regularization
  ☆55Updated 5 years ago
• HayeonLee / MetaD2A
  Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
  ☆64Updated last year
• researchmm / CyDAS
  Cyclic Differentiable Architecture Search
  ☆36Updated 3 years ago
• izmailovpavel / torch_swa_examples
  ☆47Updated 4 years ago
• noahgolmant / pytorch-lars
  "Layer-wise Adaptive Rate Scaling" in PyTorch
  ☆87Updated 4 years ago
• hukkai / rescaling
  [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?
  ☆34Updated 3 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• RAIVNLab / STR
  Soft Threshold Weight Reparameterization for Learnable Sparsity
  ☆90Updated 2 years ago
• xiaomi-automl / MixPath
  MixPath: A Unified Approach for One-shot Neural Architecture Search
  ☆30Updated 5 years ago
• yanghr / DeepHoyer
  DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
  ☆32Updated 5 years ago
• JiJingYu / delta_orthogonal_init_pytorch
  Delta Orthogonal Initialization for PyTorch
  ☆18Updated 7 years ago
• Alibaba-MIIL / HardCoReNAS
  ☆35Updated 3 years ago
• Cerebras / online-normalization
  Online Normalization for Training Neural Networks (Companion Repository)
  ☆86Updated 4 years ago
• lottery-ticket / rewinding-iclr20-public
  ☆69Updated 5 years ago
• friendshipkim / neuron-merging
  Neuron Merging: Compensating for Pruned Neurons (NeurIPS 2020)
  ☆43Updated 4 years ago