MaestroGraph / sparse-hyperLinks
Code for the paper "Learning sparse transformations through backpropagation"
☆43Updated 5 years ago
Alternatives and similar repositories for sparse-hyper
Users that are interested in sparse-hyper are comparing it to the libraries listed below
Sorting:
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 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 8 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Tensorflow implementation of Graph Convolutional Network☆77Updated 4 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Optimized Differentiable Neural Computer In Chainer☆23Updated 6 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 7 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- a replicate of https://arxiv.org/pdf/1711.00937.pdf☆16Updated 7 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 7 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks☆35Updated 7 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆185Updated last year
- Pip-installable differentiable stacks in PyTorch!☆65Updated 4 years ago
- Experiments with differentiable stacks and queues in PyTorch☆142Updated 5 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)☆31Updated 6 years ago