Collecting research materials on neural samplers with diffusion/flow models
☆59Jul 4, 2025Updated 10 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. 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
- Fast, lightweight and parallelised simulation-based inference in JAX.☆23Oct 28, 2025Updated 6 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆68Mar 11, 2024Updated 2 years ago
- ☆28Jul 28, 2023Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Dec 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
- Defining eccentricity for GW astronomy☆25Apr 21, 2026Updated 3 weeks ago
- Official code for "Stochastic Localization via Iterative Posterior Sampling"☆13May 2, 2025Updated last year
- 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☆17Oct 22, 2024Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆71Apr 22, 2026Updated 3 weeks ago
- ☆10Oct 23, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Gravitational-wave astronomy in JAX☆14Updated this week
- ☆33Nov 8, 2023Updated 2 years ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆25Oct 2, 2023Updated 2 years ago
- A Jax wrapper for cudaKDTree☆11Sep 26, 2025Updated 7 months ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆50Dec 9, 2024Updated last year
- Next-generation pulsar-timing-array data analysis☆25May 12, 2026Updated last week
- Package for data-driven and phenomenological gravitational waveform models☆12Mar 27, 2026Updated last month
- Numerical relativity surrogate waveform in Jax☆19Aug 14, 2025Updated 9 months ago
- Benchmarking field-level cosmological inference from galaxy surveys.☆14Jul 17, 2025Updated 10 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Detecting binary black hole mergers in LIGO with neural networks☆18Oct 19, 2024Updated last year
- ☆10Dec 9, 2022Updated 3 years ago
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Mar 1, 2021Updated 5 years ago
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆135Jul 24, 2025Updated 9 months ago
- ☆13Mar 14, 2025Updated last year
- Combining gravitational wave harmonics for efficient evaluation of likelihood☆27Apr 7, 2026Updated last month
- NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle☆22Dec 23, 2022Updated 3 years ago
- Differentiable Likelihood for CMB Analysis☆28Jan 21, 2026Updated 3 months ago
- Implementation of Computer Vision Models in JAX (equinox)☆23May 7, 2026Updated last week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆18Sep 27, 2023Updated 2 years ago
- A Package for Bayesian inference of expensive likelihoods with Gaussian Processes☆28May 6, 2026Updated last week
- surrogate fits for binary black-hole remnants☆10Dec 10, 2025Updated 5 months ago
- Code to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆14May 23, 2024Updated last year
- An easy to use interface to gravitational wave surrogate models☆38Updated this week
- ☆10Feb 22, 2023Updated 3 years ago
- ☆15May 7, 2026Updated last week