LBL-EESA / fastkdeLinks
☆70Updated 6 months ago
Alternatives and similar repositories for fastkde
Users that are interested in fastkde are comparing it to the libraries listed below
Sorting:
- Solve ODEs fast, with support for PyMC☆119Updated last year
- Numba-accelerated statistical distributions☆67Updated last month
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆59Updated last year
- Stats, linear algebra and einops for xarray☆67Updated this week
- The tiniest of Gaussian Process libraries☆333Updated this week
- Python wrapper for nuts-rs☆188Updated last week
- numba_scipy extends Numba to make it aware of SciPy☆275Updated last year
- Randomization-based inference in Python☆84Updated 2 weeks ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆91Updated 4 years ago
- Within-orbit Adaptive Leapfrog No-U-Turn Sampler☆38Updated 3 weeks ago
- Distance correlation and related E-statistics in Python☆158Updated 3 weeks ago
- Emulate simulations easily☆109Updated last week
- High-level API for attractive and descriptive image visualization in Python☆73Updated last week
- Bayesian inference and posterior analysis for Python☆46Updated 2 years ago
- Probabilistic Programming and Nested sampling in JAX☆219Updated last month
- Simulation based calibration and generation of synthetic data.☆56Updated 2 months ago
- Interface ReadTheDocs and GitHub Actions☆48Updated 11 months ago
- A straightforward Bayesian data fitting library☆27Updated last year
- Efficient matrix representations for working with tabular data☆132Updated this week
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆86Updated last week
- Gaussian Process Model Building Interface☆52Updated 11 months ago
- elastic fda python code☆53Updated last month
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆58Updated 3 years ago
- Kernel Density Estimation and (re)sampling☆63Updated 2 years ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆124Updated last month
- Fast and modular sklearn replacement for generalized linear models☆191Updated 4 months ago
- Gaussian-Processes Surrogate Optimisation in python☆18Updated 4 years ago
- A profiler for Numba☆87Updated 11 months ago
- distributed, likelihood-free inference☆216Updated last month
- Exploring and eliciting probability distributions☆162Updated last month