vzantedeschi / LatentTreesLinks
Code source of Learning Binary Trees by Argmin Differentiation.
☆12Updated 2 years ago
Alternatives and similar repositories for LatentTrees
Users that are interested in LatentTrees are comparing it to the libraries listed below
Sorting:
- Automated Bayesian model discovery for time series data☆77Updated last month
- Generative Forests in Python☆35Updated 2 years ago
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Probabilistic Circuits from the Juice library☆107Updated last year
- An experimental language for causal reasoning☆219Updated 3 weeks ago
- ☆21Updated 3 years ago
- Tools for an Aesara-based PPL.☆64Updated 9 months ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Bayesian Bandits☆68Updated last year
- probabilistic programming focused on fun☆41Updated this week
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- A generic interface for linear algebra backends☆73Updated 5 months ago
- Evaluation Framework for Probabilistic Programming Languages☆101Updated last year
- ☆17Updated 2 years ago
- Functional tensors for probabilistic programming☆242Updated last year
- Documentation:☆121Updated 2 years ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Neat Bayesian machine learning examples☆58Updated last month
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆50Updated 5 years ago
- Structural Time Series in JAX☆199Updated last year
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Inference Combinators in JAX☆50Updated 2 months ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- ☆12Updated 3 years ago
- Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.☆142Updated last week
- Gaussian process modelling in Python☆223Updated 7 months ago
- Causal, Higher-Order, Probabilistic Programming☆171Updated 2 years ago
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- Tools for JAX☆49Updated last week