mphuget / NIPS2016Links
This project collects the different accepted papers and their link to Arxiv or Gitxiv
☆17Updated 9 years ago
Alternatives and similar repositories for NIPS2016
Users that are interested in NIPS2016 are comparing it to the libraries listed below
Sorting:
- ☆33Updated 9 years ago
- Code for Attentive Recurrent Comparators☆58Updated 8 years ago
- Code for the recurrent image density estimator☆29Updated 10 years ago
- Cluttered MNIST Dataset☆53Updated 10 years ago
- Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.☆44Updated 8 years ago
- Unsupervised learning of visual concepts from video☆56Updated 9 years ago
- ☆44Updated 9 years ago
- Dynamic Capacity Networks using Tensorflow☆52Updated 8 years ago
- Neural network training using iterated projections.☆90Updated 9 years ago
- ☆77Updated 9 years ago
- ☆69Updated 7 years ago
- ☆55Updated 10 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 9 years ago
- ☆29Updated 8 years ago
- Implementation of search-convolutional neural networks (SCNNs)☆51Updated 8 years ago
- Code for the blog post on few-shot classification via task representation and communication.☆18Updated 8 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 9 years ago
- more composable than other neural network libraries☆42Updated 9 years ago
- ☆31Updated 8 years ago
- Learning RNN Hierarchies☆45Updated 9 years ago
- Deterministic Policy Gradient using torch7☆43Updated 9 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 10 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
- RNNprop☆36Updated 8 years ago
- ☆15Updated 9 years ago
- An implementation of the Hessian-free optimization algorithm in Theano☆61Updated 14 years ago
- Multi-Residual Networks☆23Updated 9 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 8 years ago
- ☆19Updated 9 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 8 years ago