mlapin / libsdcaLinks
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
Sorting:
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 7 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- code for fast dropout☆46Updated 9 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆80Updated 7 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 8 years ago
- Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"☆55Updated 8 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 3 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Updated 9 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Implementation of Deep Neural Decision Forest based on MSR paper☆29Updated 9 years ago
- Proceedings of ICML 2018☆39Updated 2 years ago
- Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"☆14Updated 8 years ago
- Metric Learning to Rank☆46Updated 11 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Implementation of condnets☆16Updated 9 years ago
- Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)☆44Updated 8 years ago
- Highway networks implemented in PyTorch.☆55Updated 8 years ago
- Architecture learning for CNN's☆37Updated 8 years ago
- Deep variational inference in tensorflow☆56Updated 7 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
- ☆38Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- A more memory efficient Torch implementation of "Densely Connected Convolutional Networks".☆29Updated 8 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- SparseMAP: differentiable sparse structure inference☆112Updated 6 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- ☆69Updated 6 years ago
- Lasagne code for weight normalization☆88Updated 9 years ago