Alternatives and similar repositories for ProbAct-Probabilistic-Activation-Function

Users that are interested in ProbAct-Probabilistic-Activation-Function are comparing it to the libraries listed below

• doerlbh / UnsupervisedAttentionMechanism
  Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
  ☆21Updated 3 years ago
• simplespy / SCAN-from-betaVAE
  Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
  ☆21Updated 7 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• AdamCobb / LCBNN
  ☆25Updated 2 years ago
• mlresearch / v97
  Proceedings of ICML 2019
  ☆33Updated 2 years ago
• dot-delta / Meta-SGD
  Meta-SGD Algorithms Implementation
  ☆22Updated last year
• sbelharbi / learning-class-invariant-features
  Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
  ☆12Updated 7 years ago
• odegeasslbc / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• icml-mcbn / mcbn
  ☆53Updated 7 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 7 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆21Updated 2 years ago
• ethanwharris / STAWM
  Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'
  ☆21Updated 6 years ago
• maharshi95 / GANTree
  Code release for "GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions", ICCV 2019
  ☆13Updated 2 years ago
• c-swm / c-swm
  This repository has moved to: https://github.com/tkipf/c-swm
  ☆27Updated 5 years ago
• fmcarlucci / ADAGE
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Updated 6 years ago
• Caselles / NeurIPS19-SBDRL
  Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…
  ☆35Updated 5 years ago
• zcrwind / PredNet_pytorch
  A pytorch reimplement of PredNet, which is a deep recurrent convolutional neural network for video prediction and unsupervised learning.
  ☆29Updated 5 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated 2 years ago
• mabirck / adaptative-dropout-pytorch
  Pytorch implementation of Adaptative Dropout a.ka Standout.
  ☆12Updated 7 years ago
• david-abel / iclr_2019
  Notes from ICLR 2019
  ☆25Updated 6 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 8 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
• rszeto / moving-symbols
  Like Moving MNIST, but way more flexible
  ☆24Updated 4 years ago
• thaihungle / UW-DNC
  Uniform Writing & Cached Uniform Writing
  ☆26Updated 6 years ago
• RobRomijnders / bayes_nn
  Uncertainty interpretations of the neural network
  ☆32Updated 7 years ago
• human-analysis / intrinsic-dimensionality
  PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation
  ☆23Updated 6 years ago
• EsterHlav / Dynamical-Isometry-from-Orthogonality-Neural-Nets
  Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthog…
  ☆17Updated 5 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 7 years ago
• RobRomijnders / dan
  Domain Agnostic Normalization layer for Unsupervised Domain Adaptation
  ☆11Updated 2 years ago