laurimi / ddcrp-gibbsLinks
Gibbs sampler for the Distance Dependent Chinese Restaurant Process
☆10Updated 8 years ago
Alternatives and similar repositories for ddcrp-gibbs
Users that are interested in ddcrp-gibbs are comparing it to the libraries listed below
Sorting:
- Python package to sample from determinantal point processes☆18Updated 10 years ago
- Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…☆23Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 8 years ago
- Code for Attentive Recurrent Comparators☆58Updated 8 years ago
- ☆79Updated 7 years ago
- This project collects the different accepted papers and their link to Arxiv or Gitxiv☆17Updated 9 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆51Updated 7 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 11 years ago
- DrMAD☆107Updated 8 years ago
- Unsupervised Discovery of Mid-Level Discriminative Patches☆57Updated 12 years ago
- TensorFlow implementation of LAPGAN (WIP, basically just DCGAN for now)☆11Updated 9 years ago
- boundary-seeking generative adversarial networks☆46Updated 8 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆54Updated 8 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 9 years ago
- Architecture learning for CNN's☆37Updated 8 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- ☆69Updated 8 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 years ago
- ☆21Updated 8 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- ☆14Updated 11 years ago
- Code for the blog post on few-shot classification via task representation and communication.☆18Updated 8 years ago
- ☆29Updated 7 years ago
- Averaged Stochastic Gradient Descent Classifiers☆42Updated 13 years ago
- Large scale detection through adaptation☆47Updated 6 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- ☆32Updated 8 years ago
- Here is an implementation of some of a few results seen in Early Visual Concept Learning with Unsupervised Deep Learning☆28Updated 9 years ago
- Code for "Unifying distillation and privileged information" (ICLR 2016).☆48Updated 9 years ago