paulruvolo / ELLA

Related projects ⓘ

Alternatives and complementary repositories for ELLA

• Lifelong-ML / ELLA
  Code for the ICML 2013 and AAAI 2013 papers on ELLA
  ☆12Updated 7 years ago
• YingzhenLi / vae_renyi_divergence
  A tensorflow implementation of VAE training with Renyi divergence
  ☆31Updated 8 years ago
• siddharth-agrawal / Generative-Moment-Matching-Networks
  ☆64Updated 8 years ago
• casperkaae / LVAE
  Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
  ☆99Updated 8 years ago
• takerum / vat
  Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"
  ☆110Updated 7 years ago
• Riashat / Active-Learning-Bayesian-Convolutional-Neural-Networks
  Active Learning on Image Data using Bayesian ConvNets
  ☆136Updated 8 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆98Updated 8 years ago
• dongyp13 / Robust-and-Explainable-Machine-Learning
  Related materials for robust and explainable machine learning
  ☆48Updated 6 years ago
• AMLab-Amsterdam / MNF_VBNN
  Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks
  ☆65Updated 4 years ago
• rflamary / JDOT
  Joint distribution optimal transportation for domain adaptation
  ☆93Updated 6 years ago
• enalisnick / stick-breaking_dgms
  Deep Generative Models with Stick-Breaking Priors
  ☆94Updated 8 years ago
• markvdw / GPflow-inter-domain
  Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
  ☆13Updated 7 years ago
• larsmaaloee / auxiliary-deep-generative-models
  Deep generative models for semi-supervised learning.
  ☆109Updated 8 years ago
• duchi-lab / certifiable-distributional-robustness
  Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)
  ☆45Updated 6 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• vvanirudh / deep-ensembles-uncertainty
  My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
  ☆135Updated 6 years ago
• jamesmcinerney / vbmm
  Variational inference for Gaussian mixture models
  ☆34Updated 11 years ago
• thjashin / gp-infer-net
  Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019
  ☆41Updated last year
• ChunyuanLI / pSGLD
  AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
  ☆35Updated 6 years ago
• Riashat / Deep-Bayesian-Active-Learning
  Code for Deep Bayesian Active Learning (ICML 2017)
  ☆112Updated 6 years ago
• zixu1986 / Doubly_Stochastic_Gradients
  Code for doubly stochastic gradients
  ☆25Updated 10 years ago
• mauriziofilippone / deep_gp_random_features
  ☆40Updated 5 years ago
• brain-research / ncp
  Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
  ☆62Updated 4 years ago
• RuiShu / nn-bayesian-optimization
  We use a modified neural network instead of Gaussian process for Bayesian optimization.
  ☆107Updated 7 years ago
• namkoong-lab / robustopt
  ☆42Updated 6 years ago
• btjhjeon / IMM_tensorflow
  Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)
  ☆34Updated 6 years ago
• pawni / BayesByHypernet
  Code for the paper Implicit Weight Uncertainty in Neural Networks
  ☆65Updated 5 years ago
• marcofraccaro / srnn
  Code for "Sequential Neural Models with Stochastic Layers"
  ☆114Updated 8 years ago
• djsutherland / opt-mmd
  Learning kernels to maximize the power of MMD tests
  ☆206Updated 6 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆63Updated 6 years ago