ermongroup / neuralsortLinks
Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
☆146Updated 2 years ago
Alternatives and similar repositories for neuralsort
Users that are interested in neuralsort are comparing it to the libraries listed below
Sorting:
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Updated 4 years ago
- Hypergradient descent☆149Updated last year
- ☆124Updated last year
- ☆44Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆131Updated 5 years ago
- ☆76Updated 7 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆72Updated 7 years ago
- Python implementation of smooth optimal transport.☆60Updated 4 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- ☆123Updated 2 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- implements optimal transport algorithms in pytorch☆100Updated 3 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆178Updated 4 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆126Updated last year
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 10 months ago
- Memory efficient MAML using gradient checkpointing☆85Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- pytorch implementation of VAE-Gumble-Softmax☆63Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 5 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆57Updated last year
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Differentiable bitonic sorting☆141Updated 5 years ago