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

• 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 6 years ago
• bingchenlll / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• 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
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 8 years ago
• mlresearch / v97
  Proceedings of ICML 2019
  ☆33Updated 2 months ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 7 years ago
• mabirck / adaptative-dropout-pytorch
  Pytorch implementation of Adaptative Dropout a.ka Standout.
  ☆12Updated 7 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆54Updated 6 years ago
• AdamCobb / LCBNN
  ☆25Updated 3 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆77Updated 7 years ago
• fmcarlucci / ADAGE
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Updated 6 years ago
• Healbadbad / curveball-pytorch
  An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch
  ☆21Updated 7 years ago
• dot-delta / Meta-SGD
  Meta-SGD Algorithms Implementation
  ☆22Updated last year
• robintibor / generative-reversible
  ☆32Updated 7 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• c-swm / c-swm
  This repository has moved to: https://github.com/tkipf/c-swm
  ☆27Updated 5 years ago
• RobRomijnders / bayes_nn
  Uncertainty interpretations of the neural network
  ☆32Updated 7 years ago
• pmorerio / curriculum-dropout
  Code for the paper "Curriculum Dropout", ICCV 2017
  ☆26Updated 7 years ago
• human-analysis / intrinsic-dimensionality
  PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation
  ☆25Updated 6 years ago
• uclaml / Padam
  Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …
  ☆39Updated 2 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 6 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 7 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
• BayesWatch / pytorch-blockswap
  Code for BlockSwap (ICLR 2020).
  ☆33Updated 4 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 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
• rszeto / moving-symbols
  Like Moving MNIST, but way more flexible
  ☆24Updated 5 years ago
• drimpossible / Deep-Expander-Networks
  Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".
  ☆42Updated 5 years ago