LBL-EESA / fastkde

Related projects: ⓘ

• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆55Updated 3 weeks ago
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆105Updated 4 months ago
• arm61 / uravu
  A straightforward Bayesian data fitting library
  ☆25Updated 10 months ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆41Updated 9 months ago
• mlcolab / sbi-workshop
  SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory
  ☆21Updated last year
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆111Updated last year
• HDembinski / numba-stats
  Numba-accelerated statistical distributions
  ☆50Updated this week
• JuBiotech / calibr8
  Toolbox for non-linear calibration modeling.
  ☆24Updated last month
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆54Updated 3 months ago
• jdtuck / fdasrsf_python
  elastic fda python code
  ☆52Updated 2 weeks ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆52Updated last month
• williamjameshandley / spherical_kde
  Kernel density estimation on a sphere
  ☆27Updated 2 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆112Updated 4 months ago
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆141Updated last month
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆135Updated last month
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆106Updated this week
• jmschrei / torchegranate
  A temporary repository hosting a pomegranate re-write using PyTorch as the backend.
  ☆71Updated last year
• montefiore-ai / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆51Updated 2 years ago
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆29Updated last year
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆38Updated last year
• dfm / jpu
  JAX + Units
  ☆41Updated last week
• google / bayesnf
  Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets
  ☆46Updated last week
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆94Updated 10 months ago
• mackelab / gatsbi
  GATSBI: Generative Adversarial Training for Simulation-Based Inference
  ☆17Updated last year
• lee-group-cmu / FlexCode
  Implementation of Flexible Conditional Density Estimator
  ☆20Updated last year
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆25Updated last month
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆117Updated last month
• stur86 / tvregdiff
  Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data
  ☆66Updated 3 years ago
• mortacious / numba-progress
  A progress bar implementation in numba using tqdm.
  ☆42Updated last year
• Gattocrucco / lsqfitgp
  A general purpose Gaussian process regression module
  ☆11Updated 6 months ago