darrenjw / logregLinks
Bayesian inference for a logistic regression model in various languages
☆42Updated 2 years ago
Alternatives and similar repositories for logreg
Users that are interested in logreg are comparing it to the libraries listed below
Sorting:
- Jax SSM Library☆49Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Evaluation Framework for Probabilistic Programming Languages☆100Updated last year
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆38Updated last year
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆28Updated 6 years ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- Kernels, the machine learning ones☆14Updated 2 years ago
- Lectures on Quantitative Economics Using JAX☆37Updated 2 weeks ago
- Automated Bayesian model discovery for time series data☆77Updated last month
- Exponential families for JAX☆72Updated 3 weeks ago
- Benchmarks of Bayesian Nonparametric models in Turing and other PPLs☆29Updated 11 months ago
- A Simple Statistical Distribution Library in JAX☆16Updated last year
- A generic interface for linear algebra backends☆73Updated 4 months ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Inference Combinators in JAX☆50Updated last month
- You should use PySR to find scaling laws. Here's an example.☆33Updated last year
- probabilistic programming focused on fun☆41Updated 8 months ago
- Generic API for dispatch to Pyro backends.☆16Updated 3 years ago
- Tools for an Aesara-based PPL.☆64Updated 8 months ago
- ☆28Updated 3 years ago
- Why multiple dispatch lets you write composable code☆40Updated 4 years ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆32Updated 2 years ago
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆14Updated 3 years ago
- All things Monte Carlo, written in JAX.☆31Updated 2 years ago
- Probabilistic deep learning using JAX☆15Updated 5 months ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Probabilistic Circuits from the Juice library☆106Updated last year
- Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.☆62Updated last year
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago