Alternatives and similar repositories for understanding-kl-divergence:

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

• jramapuram / LifelongVAE
  Lifelong Variational Autoencoder
  ☆14Updated 7 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 5 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• samiraabnar / Reflect
  Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"
  ☆14Updated 4 years ago
• kiankd / corel2019
  Code for AAAI 2019 Network Interpretability workshop paper
  ☆16Updated 3 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
• 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
• EricHe98 / Teacher-Student-Training
  This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training …
  ☆46Updated 6 years ago
• salesforce / NeuralBayes
  ☆24Updated 3 years ago
• leonardoaraujosantos / LearnSegmentation
  Implement most common semantic segmentation algorithms
  ☆26Updated 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
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 years ago
• mabirck / adaptative-dropout-pytorch
  Pytorch implementation of Adaptative Dropout a.ka Standout.
  ☆12Updated 7 years ago
• qulizhen / fgan_info_geometric
  f-GANs in an Information Geometric Nutshell
  ☆13Updated 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…
  ☆68Updated 11 years ago
• floydhub / save-and-resume
  Checkpoint tutorial on FloydHub for Pytorch, Keras and Tensorflow.
  ☆36Updated 7 years ago
• AdamCobb / LCBNN
  ☆25Updated 2 years ago
• williamFalcon / vae_demo
  ☆9Updated 4 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 4 years ago
• elbayadm / PaperNotes
  My notes on some Deep Learning papers
  ☆24Updated 6 years ago
• DavidWBressler / GCNN
  Pytorch implementation of Dauphin et al. (2016) "Language Modeling with Gated Convolutional Networks"
  ☆29Updated 2 years ago
• vistalab-technion / cs236605-tutorials
  ☆22Updated 5 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 6 years ago
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 5 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
• bartwojcik / lossgrad
  Implementation of the LOSSGRAD optimization algorithm
  ☆15Updated 6 years ago
• toru34 / tf_optimizers
  Optimizers in tensorflow from scratch
  ☆18Updated 7 years ago
• sun254 / awesome-transfer-learning
  a list of recent papers on transfer learning
  ☆24Updated 7 years ago
• ceshine / quantile-regression-tensorflow
  Implementations of Quantile Regression
  ☆28Updated 6 years ago
• sanghviyashiitb / GANS-VanillaAndMinibatchDiscrimination
  ☆14Updated 6 years ago