Sequential Neural Likelihood
☆42Sep 12, 2019Updated 6 years ago
Alternatives and similar repositories for snl
Users that are interested in snl are comparing it to the libraries listed below
Sorting:
- Bayesian inference for Gaussian mixture model with some novel algorithms☆53May 28, 2018Updated 7 years ago
- Masked Autoregressive Flow☆219Jul 28, 2024Updated last year
- Code for AutoGP☆27Jul 19, 2019Updated 6 years ago
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆20Jun 23, 2022Updated 3 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Jun 6, 2018Updated 7 years ago
- Code to related to my NIPS 2016 paper☆10Dec 4, 2016Updated 9 years ago
- ☆11Oct 16, 2023Updated 2 years ago
- Nonlinear SVGD for Learning Diversified Mixture Models☆13Jan 23, 2019Updated 7 years ago
- Deep Reinforcement Learning applied to trading☆15Jan 29, 2019Updated 7 years ago
- Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"☆16Dec 17, 2018Updated 7 years ago
- Conditional density estimation with neural networks☆35Jan 18, 2025Updated last year
- Code to minimize the Variational Contrastive Divergence (VCD)☆29May 30, 2019Updated 6 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Aug 23, 2022Updated 3 years ago
- This repository offers an implementation of some common architectures for normalizing flows.☆13Dec 7, 2025Updated 2 months ago
- Code for the paper Recurrent Machines for Likelihood-Free Inference☆15Feb 1, 2019Updated 7 years ago
- Modular Matrix Element Method implementation☆18Feb 7, 2024Updated 2 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Aug 10, 2021Updated 4 years ago
- ☆11Jun 8, 2018Updated 7 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆32Sep 12, 2019Updated 6 years ago
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆793Updated this week
- ☆16Apr 25, 2019Updated 6 years ago
- Unbiased and Consistent Nested Sampling via Sequential Monte Carlo☆15May 4, 2025Updated 10 months ago
- Non-linear regression in R allowing multiple start parameters☆20Jan 9, 2025Updated last year
- PyTorch implementations of algorithms for density estimation☆586May 13, 2021Updated 4 years ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆111Sep 11, 2023Updated 2 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Jul 9, 2018Updated 7 years ago
- Various estimators of the infinite dimensional exponential family model☆16May 17, 2017Updated 8 years ago
- Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".☆19May 25, 2018Updated 7 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Aug 23, 2018Updated 7 years ago
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Jan 29, 2024Updated 2 years ago
- [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions☆20Jul 15, 2022Updated 3 years ago
- Graduate topics course on learning discrete latent structure.☆67Dec 30, 2018Updated 7 years ago
- The following repository contains files to the Bayesian Causal Inference Toolbox.☆23May 3, 2017Updated 8 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Jun 1, 2021Updated 4 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 6 years ago
- Full Bayesian Inference for Hidden Markov Models☆43Jan 14, 2019Updated 7 years ago
- ELFI - Engine for Likelihood-Free Inference☆281May 7, 2025Updated 9 months ago
- Machine learning–based inference toolkit for particle physics☆91Nov 11, 2024Updated last year