vodp / py-kmmLinks
A Python implementation of Kernel Mean Matching data reweighting algorithm
☆33Updated 10 years ago
Alternatives and similar repositories for py-kmm
Users that are interested in py-kmm are comparing it to the libraries listed below
Sorting:
- Active Learning on Image Data using Bayesian ConvNets☆140Updated 9 years ago
- Joint distribution optimal transportation for domain adaptation☆105Updated 8 years ago
- Learning kernels to maximize the power of MMD tests☆211Updated 8 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 7 years ago
- Improving MMD-GAN training with repulsive loss function☆90Updated 3 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆62Updated 7 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Updated 7 years ago
- ☆53Updated 7 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆140Updated 8 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 8 years ago
- Deep Transfer Learning Papers☆81Updated 3 years ago
- PyTorch implementation of Neural Processes☆88Updated 6 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 6 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated 2 years ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆88Updated 3 years ago
- Gold Loss Correction☆88Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆92Updated 7 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆77Updated 7 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 8 years ago
- Distance Metric Learning Algorithms for Python☆175Updated 4 years ago
- Adaptive Neural Trees☆155Updated 6 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 7 years ago
- ☆46Updated 7 years ago
- Implementation of Ladder Network in PyTorch.☆45Updated 8 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 8 years ago
- This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper☆215Updated 4 years ago