mackelab / delfiLinks
Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
☆73Updated 5 years ago
Alternatives and similar repositories for delfi
Users that are interested in delfi are comparing it to the libraries listed below
Sorting:
- Sequential Neural Likelihood☆42Updated 6 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆60Updated last year
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- Dynamical Components Analysis☆33Updated last month
- ☆98Updated 7 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Recurrent Switching Linear Dynamical Systems☆112Updated 2 years ago
- Dimensionality reduction of spikes trains☆49Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Simulation-based inference benchmark☆102Updated 8 months ago
- ☆24Updated 2 years ago
- Conditional density estimation with neural networks☆33Updated 8 months ago
- Automated dynamical systems inference☆38Updated 2 years ago
- A Python 3 toolbox for neural receptive field estimation using splines and Gaussian priors.☆25Updated last year
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 8 months ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- ABCpy package☆116Updated last year
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆176Updated last year
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆121Updated last week
- ☆15Updated 2 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- local non-uniformity correction for mutual information estimation☆71Updated 4 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Manifold Markov chain Monte Carlo methods in Python☆233Updated last month
- ☆39Updated last year
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆229Updated 2 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago