Manifold-learning flows (ℳ-flows)
☆234Nov 13, 2020Updated 5 years ago
Alternatives and similar repositories for manifold-flow
Users that are interested in manifold-flow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for Neural Spline Flows paper☆289Oct 19, 2025Updated 6 months ago
- Things that make me feel productive☆15Oct 9, 2022Updated 3 years ago
- Normalizing flows in PyTorch☆1,011Dec 27, 2024Updated last year
- ☆21Nov 29, 2022Updated 3 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- 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.
- Normalizing Flows using JAX☆87Nov 30, 2023Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆286Dec 14, 2023Updated 2 years ago
- Normalizing Flows in Jax☆109Aug 19, 2020Updated 5 years ago
- We got a stew going!☆27Oct 3, 2023Updated 2 years ago
- PyTorch implementations of algorithms for density estimation☆587May 13, 2021Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆275Sep 19, 2023Updated 2 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆665Sep 22, 2020Updated 5 years ago
- ☆181Jul 5, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Awesome resources on normalizing flows.☆1,622Mar 24, 2026Updated last month
- Riemannian Convex Potential Maps☆67Mar 31, 2023Updated 3 years ago
- An experiment: emcee implemented in JAX☆28Jul 1, 2022Updated 3 years ago
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆25Mar 24, 2023Updated 3 years ago
- A tutorial for Yao.jl☆12Oct 9, 2023Updated 2 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆637Jul 12, 2021Updated 4 years ago
- Meeting repo for likelihood free inference meeting☆14Oct 6, 2022Updated 3 years ago
- PyTorch implementation of paper "Flat Metric Minimization with Applications in Generative Modeling"☆19May 14, 2019Updated 6 years ago
- Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…☆32Oct 17, 2019Updated 6 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Exploring how ChatGPT can be used to accelerate research in cosmology.☆13Dec 12, 2022Updated 3 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆48Sep 21, 2023Updated 2 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Aug 13, 2020Updated 5 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆32Sep 16, 2021Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆128Jul 6, 2023Updated 2 years ago
- A system for scientific simulation-based inference at scale.☆171Mar 30, 2024Updated 2 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆54Apr 15, 2022Updated 4 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆288Nov 25, 2021Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆183Aug 19, 2021Updated 4 years ago
- 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.
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆824Apr 26, 2026Updated last week
- A TensorFlow reimplementation of GalSim☆10Mar 8, 2022Updated 4 years ago
- A differentiation API for PyTorch☆30Jun 21, 2020Updated 5 years ago
- ☆80Sep 4, 2021Updated 4 years ago
- ☆34Oct 5, 2020Updated 5 years ago
- Stainless neural networks in JAX☆35Feb 3, 2026Updated 3 months ago
- ☆42May 31, 2019Updated 6 years ago