priyankjaini / discFlowMHLinks
Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
☆12Updated 4 years ago
Alternatives and similar repositories for discFlowMH
Users that are interested in discFlowMH are comparing it to the libraries listed below
Sorting:
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- ☆35Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated last year
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Library for normalizing flows and neural flows.☆24Updated 3 years ago
- ☆52Updated 2 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆45Updated last year
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- We got a stew going!☆27Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆55Updated 2 years ago
- Normalizing Flows using JAX☆83Updated last year
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Updated 4 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆56Updated 4 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 4 years ago
- Stochastic Normalizing Flows☆78Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last month
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Random feature latent variable models in Python☆22Updated last year
- Course Website☆9Updated 3 years ago
- ☆52Updated last year
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- ☆54Updated 11 months ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆27Updated 4 years ago
- General Invertible Transformations for Flow-based Generative Models☆18Updated 4 years ago