jhseu / ncaLinks
Neighborhood Components Analysis in C++
☆38Updated 15 years ago
Alternatives and similar repositories for nca
Users that are interested in nca are comparing it to the libraries listed below
Sorting:
- Implementation of Deep Neural Decision Forest based on MSR paper☆29Updated 9 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 6 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- ☆29Updated 7 years ago
- experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"☆20Updated 9 years ago
- Code for the blog post on few-shot classification via task representation and communication.☆18Updated 8 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- Implementation of Residual Learning with Stochastic Depth http://arxiv.org/pdf/1603.09382v2.pdf☆10Updated 8 years ago
- ☆57Updated 7 years ago
- Large scale detection through adaptation☆47Updated 5 years ago
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆44Updated 8 years ago
- DrMAD☆107Updated 7 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 7 years ago
- Mozi, Transfer Learning, Multi-Modal Learning, Theano☆27Updated 9 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- DropNeuron: Simplifying the Structure of Deep Neural Networks☆59Updated 8 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆34Updated 9 years ago
- The SimNets Architecture's Implementation in Caffe☆13Updated 8 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- Caffe code and prototxt files for the CNN Design Patterns paper☆56Updated 8 years ago
- Tensorflow implementation of CRF-RNN☆13Updated 7 years ago
- ☆9Updated 8 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Architecture learning for CNN's☆37Updated 8 years ago
- Multi-Residual Networks☆23Updated 8 years ago
- Gradient-based optimization algorithms in Python☆49Updated 6 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 9 years ago
- ShaResNet: reducing residual network parameter number by sharing weights☆32Updated 8 years ago
- Neural Network Models for Multi-label learning☆17Updated 4 years ago
- Metric Learning to Rank☆46Updated 11 years ago