MaestroGraph / sparse-hyper
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
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- boundary-seeking generative adversarial networks☆46Updated 7 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
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 6 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- learning to search in pytorch☆110Updated 5 years ago
- ☆49Updated 6 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 6 years ago
- PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)☆31Updated 6 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 6 years ago
- Tensorflow implementation of Graph Convolutional Network☆77Updated 4 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
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- ☆79Updated 7 years ago
- ☆45Updated 5 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 7 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 6 years ago
- TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"☆30Updated 6 years ago
- a replicate of https://arxiv.org/pdf/1711.00937.pdf☆16Updated 7 years ago
- Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…☆23Updated 7 years ago
- Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)☆26Updated 5 years ago