Alternatives and similar repositories for spiralNet

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

• brain-research / conv-sv
  The Singular Values of Convolutional Layers
  ☆72Updated 7 years ago
• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆92Updated 7 years ago
• rmeertens / Simplest-Tensorflow-Tensorboard-MNIST-Embedding-Visualisation
  ☆19Updated 8 years ago
• AlexiaJM / MaximumMarginGANs
  Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
  ☆179Updated 5 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• AdamCobb / LCBNN
  ☆25Updated 3 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
• RuiShu / tensorsketch
  A lightweight library for tensorflow 2.0
  ☆65Updated 6 years ago
• IssamLaradji / sls
  Implements stochastic line search
  ☆118Updated 2 years ago
• robintibor / generative-reversible
  ☆32Updated 7 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 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
• 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 7 years ago
• delve-team / delve
  PyTorch model training and layer saturation monitor
  ☆83Updated 2 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 6 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
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆40Updated last year
• vsyrgkanis / optimistic_GAN_training
  ☆46Updated 7 years ago
• cogsys-tuebingen / PAL
  Reference implementation of the PAL optimizer
  ☆20Updated 5 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 8 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• icml-mcbn / mcbn
  ☆53Updated 7 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
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆36Updated 5 years ago
• sphinxteam / dnner
  Deep Neural Networks Entropy from Replicas
  ☆34Updated 6 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆56Updated 6 years ago
• ajbrock / BoilerPlate
  Odds and Ends and Things I've implemented.
  ☆78Updated 7 years ago
• human-analysis / intrinsic-dimensionality
  PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation
  ☆26Updated 6 years ago
• moskomule / cca.pytorch
  CCAs for looking into DNNs
  ☆70Updated 5 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago