mlapin / libsdca
Multiclass classification based on stochastic dual coordinate ascent
☆34Updated 7 years ago
Related projects: ⓘ
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 7 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 6 years ago
- ☆30Updated this week
- Implementation of Deep Neural Decision Forest based on MSR paper☆29Updated 8 years ago
- code for fast dropout☆45Updated 8 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Updated 8 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆84Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 6 years ago
- Hyperparameter optimization with approximate gradient☆65Updated 3 years ago
- Proceedings of ICML 2017☆24Updated last year
- ☆17Updated this week
- Metric Learning to Rank☆46Updated 11 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 9 years ago
- Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"☆54Updated 7 years ago
- Architecture learning for CNN's☆37Updated 7 years ago
- A bare-bones NumPy implementation of "Multimodal Neural Language Models" (Kiros et al, ICML 2014)☆55Updated 7 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z …☆25Updated 6 years ago
- Proceedings of ICML 2018☆39Updated last year
- Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"☆14Updated 7 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago
- ☆18Updated 7 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Updated 4 years ago
- ☆9Updated 8 years ago
- Implementation of condnets☆14Updated 8 years ago
- Generative Models with TensorFlow☆32Updated 8 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 8 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 6 years ago
- a python code for deep canonical correlation analysis (dcca) written using numpy☆36Updated 3 years ago