probabilistic-learning / abda
Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19
☆21Updated 6 years ago
Alternatives and similar repositories for abda:
Users that are interested in abda are comparing it to the libraries listed below
- Implementation of Bayesian Sum-Product Networks☆12Updated 4 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 4 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated 11 months ago
- Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains☆16Updated 6 years ago
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Library for learning and inference with Sum-product Networks☆23Updated 4 years ago
- Generative Forests in Python☆34Updated last year
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆47Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆17Updated 5 years ago
- ☆50Updated last year
- Code for the paper Gaussian process behaviour in wide deep networks☆48Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆10Updated 2 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 4 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 2 years ago
- A framework for composing Neural Processes in Julia☆76Updated 3 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆43Updated 5 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Sum-Product Network learning routines in python☆26Updated 9 years ago
- Repository of models in Pyro☆29Updated 5 months ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- General Latent Feature Modeling for Heterogeneous data☆48Updated 9 months ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- ☆19Updated 2 years ago
- Stochastic Gradient Markov Chain Monte Carlo and Optimisation☆17Updated 7 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated last year
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆20Updated 3 years ago