Alternatives and similar repositories for delta_orthogonal_init_pytorch:

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

• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• cc-hpc-itwm / GradVis
  ☆39Updated 5 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
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆74Updated 7 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 4 years ago
• noahgolmant / pytorch-lars
  "Layer-wise Adaptive Rate Scaling" in PyTorch
  ☆86Updated 4 years ago
• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 5 years ago
• alinlab / lookahead_pruning
  Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)
  ☆33Updated 4 years ago
• hongyanz / TRADES-smoothing
  [JMLR] TRADES + random smoothing for certifiable robustness
  ☆14Updated 4 years ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆44Updated 5 years ago
• jramapuram / BYOL
  Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.
  ☆28Updated 2 years ago
• ShangyuanTong / PairGAN
  ☆21Updated 5 years ago
• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 5 years ago
• BaoWangMath / EnResNet
  ☆19Updated 5 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 years ago
• BayesWatch / pytorch-moonshine
  Cheap distillation for convolutional neural networks.
  ☆33Updated 6 years ago
• MinhyungCho / riemannian-batch-normalization
  Riemannian approach to batch normalization
  ☆18Updated 7 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• Healbadbad / curveball-pytorch
  An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch
  ☆21Updated 6 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• hukkai / rescaling
  [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?
  ☆34Updated 2 years ago
• vcl-iisc / ZSKD
  Zero-Shot Knowledge Distillation in Deep Networks
  ☆65Updated 2 years ago
• hehaodele / ProbGAN
  [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
  ☆32Updated 5 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 5 years ago
• kcyu2014 / eval-nas
  PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
  ☆50Updated 5 years ago
• tbung / pytorch-revnet
  Implementation of the reversible residual network in pytorch
  ☆104Updated 3 years ago
• 962086838 / code-for-Asymmetric-Valley
  This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".
  ☆14Updated 5 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 5 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 5 years ago