mblondel / projection-lossesLinks
Python implementation of projection losses.
☆27Updated 6 years ago
Alternatives and similar repositories for projection-losses
Users that are interested in projection-losses are comparing it to the libraries listed below
Sorting:
- ☆30Updated 3 years ago
- Reweighted Expectation Maximization☆29Updated 6 years ago
- ☆40Updated 4 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated 2 years ago
- ☆18Updated 3 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- ☆50Updated 5 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.☆16Updated 2 years ago
- Silly twitter torch implementations.☆46Updated 3 years ago
- Variational Walkback, NIPS'17☆28Updated 8 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆12Updated 4 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 7 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"☆10Updated 2 years ago
- ☆45Updated 6 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 5 years ago
- SparseMAP: differentiable sparse structure inference☆112Updated 6 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 7 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Updated 6 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Pip-installable differentiable stacks in PyTorch!☆65Updated 5 years ago
- Variable-order CRFs with structure learning☆16Updated last year