Coolister-Ye / Distance-metric-learningLinks
Implement the learning algorithm from the paper "Distance metric learning, with application to clustering with side-information [Eric P. Xing]".
☆16Updated 7 years ago
Alternatives and similar repositories for Distance-metric-learning
Users that are interested in Distance-metric-learning are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆99Updated 7 years ago
- Code for Unsupervised Learning via Meta-Learning.☆123Updated 6 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Updated 4 years ago
- Implementation of the variational continual learning method☆196Updated 6 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- Active Learning on Image Data using Bayesian ConvNets☆140Updated 9 years ago
- ZForcing Repo☆40Updated 8 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 10 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 6 years ago
- Dilated RNNs in pytorch☆211Updated 6 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 6 years ago
- PyTorch implementation of Neural Processes☆88Updated 6 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 7 years ago
- Adaptive Neural Trees☆155Updated 6 years ago
- ☆16Updated 7 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆132Updated 5 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- Tensorflow Implementation of MAML☆54Updated 8 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆35Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆50Updated 7 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Updated 6 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 3 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆118Updated 6 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 8 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆149Updated 6 years ago
- ☆78Updated 4 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆81Updated 8 years ago
- pytorch neural network attention mechanism☆148Updated 6 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago