erlendd / Neighborhood-Components-Analysis-in-PythonLinks
A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.
☆15Updated 8 years ago
Alternatives and similar repositories for Neighborhood-Components-Analysis-in-Python
Users that are interested in Neighborhood-Components-Analysis-in-Python are comparing it to the libraries listed below
Sorting:
- Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando☆31Updated 8 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 7 years ago
- ☆45Updated 5 years ago
- Variational autoencoder in Theano☆12Updated 8 years ago
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆22Updated 7 years ago
- Lifelong Variational Autoencoder☆15Updated 7 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆35Updated 6 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 9 years ago
- Deep variational inference in tensorflow☆57Updated 7 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- ☆16Updated 8 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 5 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 7 years ago
- Gated Recurrent Unit with Low-rank matrix factorization☆34Updated 9 years ago
- Neighborhood Components Analysis in C++☆38Updated 15 years ago
- Interpreting Deep Classifier by Visual Distillation of Dark Knowledge☆35Updated 4 years ago
- Wrapper for Keras with support to easy data loading and handling and the creation of staged networks.☆28Updated 5 years ago
- Active Learning: Predictors, Recommenders and Labellers☆20Updated 2 years ago
- Mixed History Recurrent Neural Networks☆47Updated 7 years ago
- ☆48Updated 7 years ago
- Keras cropping layer implementation☆13Updated 9 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Updated 8 years ago
- Some extra features for pytorch.☆50Updated 8 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 6 years ago
- ☆13Updated 9 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆71Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago