artix41 / ALFI-pytorchLinks
Code for the paper Recurrent Machines for Likelihood-Free Inference
☆15Updated 6 years ago
Alternatives and similar repositories for ALFI-pytorch
Users that are interested in ALFI-pytorch are comparing it to the libraries listed below
Sorting:
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- python-based shapelet decomposition package☆26Updated 8 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 5 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Extended Mean Field Restricted Boltzmann Machine☆16Updated 8 years ago
- MCMC methods for neural networks☆10Updated last year
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- LaTeX source code for the slides☆23Updated 4 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 3 years ago
- A simple MCMC framework for training Gaussian processes adding functionality to GPy.☆21Updated 10 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Turning Python into a probabilistic programming language☆19Updated 10 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆22Updated 11 years ago
- A pytorch version of hamiltonian monte carlo☆14Updated 6 years ago
- A library to build up lazily evaluated expressions of linear transforms for efficient scientific computing.☆25Updated last year
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)☆16Updated 3 years ago
- Sequential Monte Carlo sampler for PyMC2 models.☆13Updated 7 years ago
- Python implementation of Conditional Random Fields (CRF) for Optical Character Recognition (OCR)☆7Updated 10 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- my PhD thesis on Bayesian inference☆27Updated 11 years ago