montefiore-institute / hypothesisLinks
A Python toolkit for (simulation-based) inference and the mechanization of science.
☆53Updated 3 years ago
Alternatives and similar repositories for hypothesis
Users that are interested in hypothesis are comparing it to the libraries listed below
Sorting:
- Conditional density estimation with neural networks☆32Updated 7 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Simulation-based inference benchmark☆101Updated 7 months ago
- Probabilistic Programming and Nested sampling in JAX☆198Updated last week
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated last year
- ABCpy package☆115Updated last year
- Just a little MCMC☆228Updated last year
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Probabilistic modeling of tabular data with normalizing flows.☆57Updated 2 months ago
- Normalizing Flows using JAX☆84Updated last year
- Upstream optimisation for downstream inference☆70Updated 2 weeks ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Manifold Markov chain Monte Carlo methods in Python☆232Updated last week
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆57Updated last year
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- All things Monte Carlo, written in JAX.☆31Updated 2 years ago
- A generic interface for linear algebra backends☆73Updated 5 months ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆110Updated last year
- Bibtex for various Python science and machine learning software☆33Updated 2 years ago
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆239Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆235Updated last year
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago
- Gaussian Mixture Models in Jax☆22Updated last month
- Sequential Neural Likelihood☆40Updated 5 years ago
- Gaussian process modelling in Python☆222Updated 8 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 10 months ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 7 months ago
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated 2 years ago