Alternatives and similar repositories for understanding-kl-divergence:

Users that are interested in understanding-kl-divergence are comparing it to the libraries listed below

• leonardoaraujosantos / LearnSegmentation
  Implement most common semantic segmentation algorithms
  ☆26Updated 7 years ago
• mollymr305 / mnist-mc-dropout
  model uncertainty using mc dropout
  ☆20Updated 6 years ago
• jramapuram / LifelongVAE
  Lifelong Variational Autoencoder
  ☆14Updated 7 years ago
• mpatacchiola / Y-AE
  Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…
  ☆52Updated 4 years ago
• mlberkeley / Meta-Learning-Worskhop
  ☆16Updated 6 years ago
• salesforce / NeuralBayes
  ☆24Updated 3 years ago
• learning-luke / pytorch-experiments-template
  A pytorch based classification experiments template
  ☆46Updated 3 years ago
• williamFalcon / vae_demo
  ☆9Updated 4 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 5 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 5 years ago
• apsarath / NRU
  ☆22Updated 6 years ago
• sordonia / zforcing
  ZForcing Repo
  ☆40Updated 7 years ago
• lnsmith54 / BOSS
  This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…
  ☆36Updated 4 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• demelin / Noise-Contrastive-Estimation-NCE-for-pyTorch
  Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…
  ☆45Updated 5 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
• ariG23498 / G-SimCLR
  This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…
  ☆77Updated 3 years ago
• amrit110 / Active-Learning-Papers
  A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
  ☆66Updated 4 years ago
• dizam92 / pyTorchReg
  Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
  ☆38Updated 2 years ago
• muupan / deep-ensemble-uncertainty
  An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)
  ☆34Updated 8 years ago
• markdtw / temperature-scaling-tensorflow
  On Calibration of Modern Neural Networks - tensorflow implementation
  ☆30Updated 6 years ago
• foxlf823 / DilatedRnn
  A PyTorch implement of Dilated RNN
  ☆11Updated 7 years ago
• goodfeli / forgetting
  Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…
  ☆67Updated 10 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆56Updated 6 years ago
• liyu95 / SupportNet
  SupportNet: solving catastrophic forgetting in class incremental learning with support data
  ☆34Updated 6 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 4 years ago
• TomVeniat / SANAS
  Stochastic Adaptive Neural Architecture Search
  ☆65Updated 6 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago