priyankjaini / discFlowMH
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
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 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
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆19Updated 8 months ago
- ☆34Updated 2 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 6 years ago
- We got a stew going!☆27Updated last year
- orbital MCMC☆10Updated 3 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆45Updated 2 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- Random feature latent variable models in Python☆22Updated last year
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Course Website☆9Updated 3 years ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- ☆49Updated 4 years ago
- Euclidean Wasserstein-2 optimal transportation☆46Updated last year
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated 2 years ago
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- Sequential Neural Likelihood☆39Updated 5 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Probabilistic Solution of Differential Equations☆13Updated 2 years ago