Alternatives and similar repositories for spiralNet

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

• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆90Updated 7 years ago
• robintibor / generative-reversible
  ☆32Updated 7 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• IssamLaradji / sls
  Implements stochastic line search
  ☆118Updated 2 years ago
• brain-research / conv-sv
  The Singular Values of Convolutional Layers
  ☆72Updated 7 years ago
• delve-team / delve
  PyTorch model training and layer saturation monitor
  ☆82Updated 2 years ago
• npielawski / pytorch_tiramisu
  A regular Tiramisu network for PyTorch with a LOT of extra features!
  ☆42Updated 4 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 5 years ago
• kumar-shridhar / ProbAct-Probabilistic-Activation-Function
  Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.
  ☆13Updated 6 years ago
• ispamm / kernel-activation-functions
  Several implementations of the kernel-based activation functions
  ☆63Updated 6 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆85Updated 4 years ago
• michaelisc / cluttered-omniglot
  Cluttered Omniglot dataset and models
  ☆49Updated 6 years ago
• AdamCobb / LCBNN
  ☆25Updated 3 years ago
• emtiyaz / vadam
  Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …
  ☆112Updated 6 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆56Updated 6 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• HaberGroup / SemiImplicitDNNs
  Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'
  ☆25Updated 6 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• wittawatj / cadgan
  ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
  ☆22Updated last year
• cogsys-tuebingen / PAL
  Reference implementation of the PAL optimizer
  ☆20Updated 5 years ago
• Natsu6767 / Generating-Devanagari-Using-DRAW
  PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.
  ☆89Updated 5 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 5 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆84Updated 3 years ago
• timsainb / GAIA
  Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained ex…
  ☆79Updated 6 years ago
• lin-shuyu / ladder-latent-data-distribution-modelling
  In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…
  ☆41Updated 4 years ago
• lixilinx / psgd_tf
  Tensorflow implementation of preconditioned stochastic gradient descent
  ☆34Updated last year
• LCSL / RegML
  ☆12Updated 4 years ago
• RuiShu / tensorsketch
  A lightweight library for tensorflow 2.0
  ☆66Updated 5 years ago
• angetato / Custom-Optimizer-on-Keras
  Custom Optimizer on Keras
  ☆24Updated 5 years ago