peterewills / itsample
Inverse transform sampling in Python
☆21Updated 6 years ago
Alternatives and similar repositories for itsample:
Users that are interested in itsample are comparing it to the libraries listed below
- My CV☆37Updated this week
- Bibtex for various Python science and machine learning software☆32Updated 2 years ago
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆232Updated last year
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated last year
- Kernel Density Estimation and (re)sampling☆61Updated last year
- JAX + Units☆47Updated last month
- Optimal numerical differentiation of noisy time series data in python.☆61Updated 7 months ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- Hamiltonain Monte Carlo in Python☆39Updated 5 years ago
- Methods for numerical differentiation of noisy data in python☆116Updated 3 weeks ago
- ABCpy package☆113Updated 10 months ago
- Numerical quadrature with JAX☆53Updated last week
- Gaussian Process Regression Interactive Javascript Demo☆54Updated 6 years ago
- 🐈 Automatic differentiable spectrum modeling of exoplanets/brown dwarfs using JAX, compatible with NumPyro and Optax/JAXopt☆60Updated this week
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆40Updated 5 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆31Updated last year
- Smooth data fitting in N dimensions.☆55Updated 2 years ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆53Updated 8 months ago
- Differentiable and gpu enabled fast wavelet transforms in JAX.☆43Updated 8 months ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆108Updated last year
- GW polarization parameterizations and corresponding Jacobians.☆11Updated last year
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆66Updated this week
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆52Updated last year
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆23Updated 11 months ago
- A list of Python-based MCMC & ABC packages☆123Updated 9 months ago
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆60Updated last week
- http://cranmer.github.io/stats-ds-book☆69Updated 4 years ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆60Updated 9 months ago
- Implementation of the CWoLa Hunting strategy for dijet resonances☆18Updated 4 years ago
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated last month