Alternatives and similar repositories for pytorch-sqrtm:

Users that are interested in pytorch-sqrtm are comparing it to the libraries listed below

• rythei / PyTorchOT
  implements optimal transport algorithms in pytorch
  ☆96Updated 2 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆72Updated 5 years ago
• aliutkus / torchpercentile
  Percentile computation for pytorch
  ☆21Updated 5 years ago
• kfzyqin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆101Updated 5 years ago
• jotaf98 / pytorch-curveball
  A second-order optimizer for deep networks
  ☆24Updated 5 years ago
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆209Updated last year
• juntang-zhuang / torch_ACA
  repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE
  ☆54Updated 4 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• srebuffi / lsd-clusters
  ☆46Updated 2 years ago
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆69Updated 4 years ago
• samaonline / Orthogonal-Convolutional-Neural-Networks
  Code for paper "Orthogonal Convolutional Neural Networks".
  ☆116Updated 3 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆51Updated 4 years ago
• eitanrich / torch-mfa
  Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch
  ☆40Updated 2 years ago
• hushell / sib_meta_learn
  Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
  ☆58Updated 5 years ago
• fmu2 / NICE
  PyTorch implementation of NICE
  ☆33Updated 6 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• geniki / neural-processes
  PyTorch implementation of Neural Processes
  ☆88Updated 6 years ago
• hukkai / rescaling
  [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?
  ☆34Updated 2 years ago
• pclucas14 / pytorch-glow
  Pytorch Implementation of OpenAI's GLOW
  ☆94Updated 4 years ago
• huangleiBuaa / IterNorm-pytorch
  This is the pytorch re-implementation of the IterNorm
  ☆41Updated 5 years ago
• PolinaKirichenko / flows_ood
  ☆87Updated 3 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 5 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆59Updated 5 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆34Updated 4 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• huangleiBuaa / ONI
  PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs
  ☆24Updated 4 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆65Updated 6 years ago
• NVlabs / High-res-disentanglement-datasets
  Datasets for new state-of-the-art challenge in disentanglement learning
  ☆45Updated 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
• HaozhiQi / ISONet
  Deep Isometric Learning for Visual Recognition (ICML 2020)
  ☆142Updated 2 years ago