deep-spin / sparse_continuous_distributionsLinks
This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.
☆16Updated 2 years ago
Alternatives and similar repositories for sparse_continuous_distributions
Users that are interested in sparse_continuous_distributions are comparing it to the libraries listed below
Sorting:
- ☆18Updated 3 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- Silly twitter torch implementations.☆46Updated 3 years ago
- ☆50Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- Python implementation of projection losses.☆27Updated 6 years ago
- ☆12Updated 3 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- ☆30Updated 3 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated 2 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- ☆40Updated 4 years ago
- Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)☆12Updated last year
- Efficient Householder Transformation in PyTorch☆69Updated 4 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Updated 4 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Official code for UnICORNN (ICML 2021)☆28Updated 4 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Updated 6 years ago
- Blog post☆17Updated last year
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 5 years ago
- ☆24Updated 6 years ago
- ☆107Updated last year
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 3 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated 2 years ago