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☆80Updated 2 weeks ago
- Counterexample-Guided Learning of Monotonic Networks☆18Updated 3 years ago
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- Generative Forests in Python☆35Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Probabilistic Circuits from the Juice library☆106Updated last year
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- Tools for an Aesara-based PPL.☆66Updated 10 months ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- An experimental language for causal reasoning☆221Updated this week
- A generic interface for linear algebra backends☆73Updated 6 months ago
- ☆21Updated 3 years ago
- Structural Time Series in JAX☆199Updated last year
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated last week
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- probabilistic programming focused on fun☆42Updated last month
- Exponential families for JAX☆73Updated last week
- Documentation:☆122Updated 2 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Functional tensors for probabilistic programming☆243Updated 2 years ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆40Updated last year
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- Probabilistic programming system for fast and exact symbolic inference☆82Updated last year
- ☆53Updated 2 years ago
- ☆18Updated 2 years ago
- Evaluation Framework for Probabilistic Programming Languages☆102Updated last year
- Tools for JAX☆49Updated last week
- Gaussian process modelling in Python☆223Updated 9 months ago