J-zin / Awesome-Diffusion-Flow-SamplersView external linksLinks
Collecting research materials on neural samplers with diffusion/flow models
☆59Jul 4, 2025Updated 7 months ago
Alternatives and similar repositories for Awesome-Diffusion-Flow-Samplers
Users that are interested in Awesome-Diffusion-Flow-Samplers are comparing it to the libraries listed below
Sorting:
- Example of GAMES (Gravitational-wave Amortized Metric Enhanced Sampler)☆12Oct 8, 2024Updated last year
- Codes to reproduce results in the paper☆10Apr 9, 2021Updated 4 years ago
- Numerical relativity surrogate waveform in Jax☆19Aug 14, 2025Updated 6 months ago
- ☆10Oct 23, 2024Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Dec 21, 2023Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆66Mar 11, 2024Updated last year
- Implementation of methods to sample from Boltzmann distributions☆20Jan 24, 2023Updated 3 years ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆23Oct 28, 2025Updated 3 months ago
- Gradient Based Nested Sampling☆21Feb 2, 2024Updated 2 years ago
- Defining eccentricity for GW astronomy☆25Jan 19, 2026Updated 3 weeks ago
- Next-generation pulsar-timing-array data analysis☆21Jan 22, 2026Updated 3 weeks ago
- Package for data-driven and phenomenological gravitational waveform models☆12Feb 12, 2025Updated last year
- surrogate fits for binary black-hole remnants☆10Dec 10, 2025Updated 2 months ago
- ☆31Nov 8, 2023Updated 2 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Oct 22, 2024Updated last year
- Combining gravitational wave harmonics for efficient evaluation of likelihood☆27Updated this week
- ☆28Jul 28, 2023Updated 2 years ago
- Detecting binary black hole mergers in LIGO with neural networks☆18Oct 19, 2024Updated last year
- A simulation-based Inference (SBI) library designed for stochastic gravitational wave background data analysis☆16Jan 27, 2025Updated last year
- Implementing Controlled Monte Carlo Diffusions (ICLR 2024)☆17Sep 30, 2024Updated last year
- Fast Inference for GW Astronomy, Research and Observations☆20Nov 26, 2025Updated 2 months ago
- An easy to use interface to gravitational wave surrogate models☆37Jul 3, 2025Updated 7 months ago
- ☆18Sep 27, 2023Updated 2 years ago
- NRPy: Python-Based Code Generation for Numerical Relativity... and Beyond!☆25Updated this week
- JAX-accelerated nuclear equation of state inference and TOV solvers☆10Feb 7, 2026Updated last week
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆46Dec 9, 2024Updated last year
- Source code repository for the AISTAT 2023 paper Transport Reversible Jump Proposals.☆10Mar 3, 2023Updated 2 years ago
- Differentiable Likelihood for CMB Analysis☆25Jan 21, 2026Updated 3 weeks ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆68Apr 11, 2025Updated 10 months ago
- This will be the first official public release of the VItamin code base. VItamin is a python package for producing fast gravitational wav…☆27Jul 6, 2021Updated 4 years ago
- ☆11Feb 25, 2025Updated 11 months ago
- Code to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆13May 23, 2024Updated last year
- Benchmarking field-level cosmological inference from galaxy surveys.☆12Jul 17, 2025Updated 6 months ago
- Official code for "Stochastic Localization via Iterative Posterior Sampling"☆12May 2, 2025Updated 9 months ago
- ☆10Feb 22, 2023Updated 2 years ago
- A Jax wrapper for cudaKDTree☆11Sep 26, 2025Updated 4 months ago
- Individual binary analysis of the NANOGrav 15-year dataset☆10Jun 26, 2023Updated 2 years ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆79Jun 20, 2025Updated 7 months ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆25Oct 2, 2023Updated 2 years ago