mlapin / libsdca
Multiclass classification based on stochastic dual coordinate ascent
☆34Updated 8 years ago
Alternatives and similar repositories for libsdca:
Users that are interested in libsdca are comparing it to the libraries listed below
- code for fast dropout☆46Updated 9 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Updated 9 years ago
- Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"☆54Updated 8 years ago
- Implementation of Deep Neural Decision Forest based on MSR paper☆29Updated 9 years ago
- 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
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Metric Learning to Rank☆46Updated 11 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 3 years ago
- ☆10Updated 10 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 7 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago
- SparseMAP: differentiable sparse structure inference☆111Updated 5 years ago
- Highway networks implemented in PyTorch.☆56Updated 7 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 7 years ago
- ☆9Updated 8 years ago
- Torch implementation of PixelCNN for MNIST☆29Updated 8 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- ☆45Updated 8 years ago
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆41Updated 9 years ago
- Architecture learning for CNN's☆37Updated 7 years ago
- Proceedings of ICML 2018☆39Updated last year
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 8 years ago
- A bare-bones NumPy implementation of "Multimodal Neural Language Models" (Kiros et al, ICML 2014)☆55Updated 7 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago