Alternatives and similar repositories for gatsbi

Users that are interested in gatsbi are comparing it to the libraries listed below

• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆14Updated 3 years ago
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆58Updated 2 months ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆34Updated 10 months ago
• albcab / fmx
  Conditional Flow Matching using JAX
  ☆13Updated 2 years ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• smsharma / hierarchical-inference
  Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.
  ☆13Updated 2 years ago
• davidnabergoj / torchflows
  Modern normalizing flows in Python. Simple to use and easily extensible.
  ☆11Updated last month
• adonath / gmmx
  Gaussian Mixture Models in Jax
  ☆23Updated 4 months ago
• martin-marek / mini-hmc-jax
  A simple implementation of Hamiltonian Monte Carlo in JAX.
  ☆21Updated last year
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆35Updated 9 months ago
• lollcat / fab-jax
  Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.
  ☆12Updated last year
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆40Updated last week
• homerjed / sbiax
  Fast, lightweight and parallelised simulation-based inference in JAX.
  ☆22Updated last month
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 4 years ago
• dodgebc / jaxkd
  Minimal JAX implementation of k-nearest neighbors using a k-d tree.
  ☆50Updated 4 months ago
• dingo-gw / flow-matching-posterior-estimation
  ☆30Updated 2 years ago
• AdrienCorenflos / particle_mala
  Gradient-informed particle MCMC methods
  ☆12Updated last year
• Pablo-Lemos / GGNS
  Gradient Based Nested Sampling
  ☆20Updated last year
• johannbrehmer / pointers
  Things that make me feel productive
  ☆15Updated 3 years ago
• MilesCranmer / python_citations
  Bibtex for various Python science and machine learning software
  ☆33Updated 3 years ago
• francois-rozet / inox
  Stainless neural networks in JAX
  ☆34Updated 3 months ago
• smsharma / sbi-lecture-mit
  Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.
  ☆61Updated 2 years ago
• gradhep / relaxed
  Provides differentiable versions of common HEP operations and objectives.
  ☆25Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆85Updated 2 years ago
• dfm / jpu
  JAX + Units
  ☆48Updated this week
• ASEM000 / pytreeclass
  Visualize, create, and operate on pytrees in the most intuitive way possible.
  ☆45Updated 10 months ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆131Updated last year
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆32Updated 2 years ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆75Updated last month
• ASEM000 / kernex
  Stencil computations in JAX
  ☆71Updated 2 weeks ago