PGM-Lab / probabilisticAI_tutorialsLinks
Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2019 (https://2019.probabilistic.ai/)
☆20Updated 6 years ago
Alternatives and similar repositories for probabilisticAI_tutorials
Users that are interested in probabilisticAI_tutorials are comparing it to the libraries listed below
Sorting:
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆60Updated 5 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆129Updated 5 years ago
- Normalizing Flows in Jax☆107Updated 5 years ago
- ☆64Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆190Updated 2 years ago
- A toolbox for inference of mixture models☆16Updated 2 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated last month
- Progress, Notes, Summaries and a lot of Questions on Machine Learning☆55Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Composable kernels for scikit-learn implemented in JAX.☆44Updated 4 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- ☆11Updated 3 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 3 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Learning some numerical linear algebra.☆70Updated 4 years ago
- Statistical adaptive stochastic optimization methods☆32Updated 5 years ago
- ☆11Updated 9 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Bayesian Bandits☆68Updated 2 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Variational inference for hierarchical dynamical systems☆48Updated last year
- A collection of Gaussian process models☆30Updated 8 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆32Updated 6 years ago