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
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 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
- Odds and Ends and Things I've implemented.☆78Updated 6 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
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 6 years ago
- a light weight experiment reproducibility toolset☆40Updated 4 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- ☆49Updated 6 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 6 years ago
- Optimized Differentiable Neural Computer In Chainer☆23Updated 6 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 6 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆73Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Pip-installable differentiable stacks in PyTorch!☆65Updated 4 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆183Updated last year
- TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"☆30Updated 6 years ago
- learning to search in pytorch☆110Updated 5 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 6 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando☆31Updated 7 years ago
- Some extra features for pytorch.☆50Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)☆31Updated 6 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆54Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Tensorflow implementation of Graph Convolutional Network☆77Updated 4 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago