dimarkov / bmr4pmlLinks
Bayesian model reduction for probabilistic machine learning
☆11Updated 3 months ago
Alternatives and similar repositories for bmr4pml
Users that are interested in bmr4pml are comparing it to the libraries listed below
Sorting:
- The Energy Transformer block, in JAX☆58Updated last year
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 7 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆16Updated 8 months ago
- ☆14Updated 3 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆43Updated 2 years ago
- Variational Reinforcement Learning☆16Updated last year
- Active inference implementation of dynamic multi-armed bandits☆19Updated 3 months ago
- ☆15Updated 3 years ago
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆23Updated 4 months ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 3 years ago
- ☆14Updated 4 years ago
- ☆55Updated 11 months ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated last year
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆20Updated 3 years ago
- Flexible Inference for Predictive Coding Networks in JAX.☆55Updated 2 weeks ago
- repo for code for paper on general theory associative memory models☆21Updated 3 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆90Updated 3 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated last year
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- General framework for Bayesian inversion of continuous hierarchical models☆10Updated 4 years ago
- ☆19Updated 3 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Updated last year
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- ☆16Updated 3 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Support material for MAT6115, Université de Montréal, Fall 2018☆27Updated last year
- Nonparametric Differential Equation Modeling☆54Updated last year
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆45Updated 2 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated 2 years ago