MaestroGraph / sparse-hyper
Code for the paper "Learning sparse transformations through backpropagation"
☆42Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for sparse-hyper
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 6 years ago
- PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)☆31Updated 6 years ago
- Odds and Ends and Things I've implemented.☆78Updated 5 years ago
- ☆50Updated 6 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 7 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆183Updated last year
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆33Updated last year
- boundary-seeking generative adversarial networks☆46Updated 6 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 6 years ago
- learning to search in pytorch☆111Updated 4 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆47Updated 6 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks☆34Updated 6 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- ☆29Updated 7 years ago
- Implements an infinite sum of poisson-weighted convolutions☆26Updated 6 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆58Updated 6 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 7 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 6 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆49Updated 6 years ago
- a light weight experiment reproducibility toolset☆39Updated 4 years ago
- Code for Attentive Recurrent Comparators☆57Updated 7 years ago