Alternatives and similar repositories for ProbGAN

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

• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 6 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆70Updated 5 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆61Updated 6 years ago
• tbung / pytorch-revnet
  Implementation of the reversible residual network in pytorch
  ☆106Updated 4 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 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
• VITA-Group / Orthogonality-in-CNNs
  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
  ☆130Updated 4 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 4 years ago
• erogol / Net2Net
  Net2Net implementation on PyTorch for any possible vision layers.
  ☆39Updated 8 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• henry8527 / COT
  [ICLR'19] Complement Objective Training
  ☆75Updated 7 years ago
• rdevon / cortex
  A machine learning library for PyTorch
  ☆94Updated 3 years ago
• holyseven / TransferLearningClassification
  Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…
  ☆56Updated 7 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆27Updated 6 years ago
• christopher-beckham / amr
  Official adversarial mixup resynthesis repository
  ☆35Updated 5 years ago
• yookoon / VLAE
  Code for Variational Laplace Autoencoders
  ☆54Updated 2 years ago
• da-molchanov / variance-networks
  Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
  ☆39Updated 6 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 8 years ago
• vsyrgkanis / optimistic_GAN_training
  ☆46Updated 7 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
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆78Updated 7 years ago
• moskomule / l0.pytorch
  an implementation of L0 regularization with PyTorch
  ☆57Updated 7 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆36Updated 5 years ago
• BioroboticsLab / IBA-paper-code
  Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"
  ☆79Updated 5 years ago
• dcharrezt / NeurIPS-2019-Stats
  General stats about NeurIPS 2019
  ☆28Updated 5 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆88Updated 8 years ago
• joe-siyuan-qiao / NeuralRejuvenation-CVPR19
  Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19
  ☆48Updated 6 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 8 years ago
• ishansd / swg
  Sliced Wasserstein Generator
  ☆39Updated 7 years ago