Alternatives and similar repositories for AdaBatch:

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

• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• noahgolmant / pytorch-lars
  "Layer-wise Adaptive Rate Scaling" in PyTorch
  ☆86Updated 4 years ago
• uclaml / Padam
  Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …
  ☆39Updated last year
• JiJingYu / delta_orthogonal_init_pytorch
  Delta Orthogonal Initialization for PyTorch
  ☆18Updated 6 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• ducha-aiki / LSUV-pytorch
  Simple implementation of the LSUV initialization in PyTorch
  ☆58Updated last year
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆33Updated 5 years ago
• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 5 years ago
• znxlwm / pytorch-apex-experiment
  Simple experiment of Apex (A PyTorch Extension)
  ☆47Updated 5 years ago
• BayesWatch / deficient-efficient
  Successfully training approximations to full-rank matrices for efficiency in deep learning.
  ☆17Updated 4 years ago
• ChanganVR / ConstraintAwareCompression
  [ECCV18] Constraint-Aware Deep Neural Network Compression
  ☆12Updated 6 years ago
• vinbhaskara / adams
  Exploiting Uncertainty of Loss Landscape for Stochastic Optimization
  ☆15Updated 5 years ago
• gan3sh500 / octaveconv-pytorch
  Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…
  ☆57Updated 5 years ago
• xternalz / SDPoint
  Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
  ☆18Updated 5 years ago
• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 5 years ago
• shivram1987 / diffGrad
  diffGrad: An Optimization Method for Convolutional Neural Networks
  ☆55Updated 2 years ago
• kcyu2014 / multi-model-forgetting
  ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting
  ☆13Updated 5 years ago
• fabio-deep / ReZero-ResNet
  Unofficial pytorch implementation of ReZero in ResNet
  ☆23Updated 4 years ago
• wenwei202 / autogrow
  AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)
  ☆39Updated 5 years ago
• ToniCreswell / pyTorch_DAAE
  Demonising Adversarial Auto-encoder in PyTorch
  ☆24Updated 6 years ago
• MinhyungCho / riemannian-batch-normalization
  Riemannian approach to batch normalization
  ☆18Updated 7 years ago
• moskomule / pytorch.snapshot.ensembles
  PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]
  ☆36Updated 7 years ago
• csyhhu / Co-Prune
  Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.
  ☆12Updated 5 years ago
• alondj / Pytorch-Gpipe
  ☆26Updated 5 years ago
• gustavla / self-supervision
  Training and evaluating self-supervised deep neural networks
  ☆28Updated 7 years ago
• gaosh / Structured-Bayesian-Pruning-pytorch
  pytorch implementation of Structured Bayesian Pruning
  ☆19Updated 6 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• eBay / AutoOpt
  Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
  ☆45Updated 4 years ago
• taki0112 / SDIT-Tensorflow
  Simple Tensorflow implementation of "SDIT: Scalable and Diverse Cross-domain Image Translation" (ACM-MM 2019)
  ☆16Updated 5 years ago
• Jongchan / unsupervised_data_augmentation_pytorch
  A PyTorch implementation for Unsupervised Data Augmentation
  ☆23Updated 2 years ago