Collecting research materials on neural samplers with diffusion/flow models
☆59Jul 4, 2025Updated last year
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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Example of GAMES (Gravitational-wave Amortized Metric Enhanced Sampler)☆12Oct 8, 2024Updated last year
- Implementation of methods to sample from Boltzmann distributions☆22Jan 24, 2023Updated 3 years ago
- Official implementation of Progressive Tempering Sampler with Diffusion (ICML 2025)☆16Aug 16, 2025Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆69Mar 11, 2024Updated 2 years ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆23Oct 28, 2025Updated 10 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆51Dec 9, 2024Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆25Dec 21, 2023Updated 2 years ago
- Gradient Based Nested Sampling☆21Feb 2, 2024Updated 2 years ago
- Implementing Controlled Monte Carlo Diffusions (ICLR 2024)☆18Sep 30, 2024Updated last year
- Official code for "Stochastic Localization via Iterative Posterior Sampling"☆13May 2, 2025Updated last year
- Defining eccentricity for GW astronomy☆25Sep 10, 2026Updated last week
- Codes to reproduce results in the paper☆10Apr 9, 2021Updated 5 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆18Oct 22, 2024Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆72Jun 5, 2026Updated 3 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆10Dec 9, 2022Updated 3 years ago
- ☆11Oct 23, 2024Updated last year
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆25Oct 2, 2023Updated 2 years ago
- A Jax wrapper for cudaKDTree☆11Sep 26, 2025Updated 11 months ago
- ICLR'25 Oral: Improving Probabilistic Diffusion Models With Optimal Covariance Matching☆15Oct 19, 2024Updated last year
- Package for data-driven and phenomenological gravitational waveform models☆12Aug 4, 2026Updated last month
- Detecting binary black hole mergers in LIGO with neural networks☆18Oct 19, 2024Updated last year
- Benchmarking field-level cosmological inference from galaxy surveys.☆16Jul 17, 2025Updated last year
- Reinforcement learning tutorials using the rlberry library.☆18Jan 9, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- surrogate fits for binary black-hole remnants☆10Jun 25, 2026Updated 2 months ago
- NeurIPS23 "Flow Factorized Representation Learning"☆47Dec 15, 2025Updated 9 months ago
- ☆13Mar 14, 2025Updated last year
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Mar 1, 2021Updated 5 years ago
- ☆10Feb 22, 2023Updated 3 years ago
- Gravitational-wave astronomy in JAX☆16Updated this week
- Bijections & normalizing flows with JAX/NNX☆30Aug 23, 2026Updated 3 weeks ago
- ☆18Sep 27, 2023Updated 2 years ago
- Differentiable Likelihood for CMB Analysis☆32Jun 5, 2026Updated 3 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Combining gravitational wave harmonics for efficient evaluation of likelihood☆28Aug 22, 2026Updated 3 weeks ago
- A Package for Bayesian inference of expensive likelihoods with Gaussian Processes☆28Updated this week
- NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle☆21Dec 23, 2022Updated 3 years ago
- Code to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆14May 23, 2024Updated 2 years ago
- Code for the paper Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities.☆38Sep 5, 2026Updated last week
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Oct 1, 2018Updated 7 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Jul 10, 2024Updated 2 years ago