A Python library for variational inference with normalizing flow and annealing
☆15Mar 13, 2025Updated last year
Alternatives and similar repositories for LINFA
Users that are interested in LINFA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Notas del curso de Simulación☆13Feb 3, 2026Updated 7 months ago
- Website☆12Aug 2, 2026Updated last month
- Official implementation of "Normalizing flow neural networks by JKO scheme" (NeurIPS 2023 spotlight)☆11Sep 16, 2024Updated 2 years ago
- Martingale Posteriors with Copulas☆24Mar 19, 2024Updated 2 years ago
- Mono-repository for MATE ROV development.☆14Jan 5, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆17Mar 16, 2022Updated 4 years ago
- AD backends for LogDensityProblems.jl.☆13Updated this week
- Integrate static security testing with HCL AppScan on Cloud using GitHub Actions☆12Updated this week
- Rejection-minimal, non-reversible, and continuous-time samplers☆12Nov 14, 2025Updated 10 months ago
- Landing page + leaderboard for SWE-Bench benchmark☆15Sep 1, 2026Updated 2 weeks ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆26Dec 9, 2021Updated 4 years ago
- ☆12Feb 22, 2022Updated 4 years ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆14Jul 2, 2024Updated 2 years ago
- A silly and weirdly useful experiment where I attempt to encode one bit of information with a VAE☆11Dec 31, 2016Updated 9 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.
- A minimal, single-file implementation of the MeanFlow paper on 2D toy examples, with a side-by-side comparison to rectified flow.☆27Jul 4, 2025Updated last year
- Mapping Framework powering TNC Coastal Resilience programs☆13Mar 20, 2021Updated 5 years ago
- A simple example of VAEs with KANs☆12May 17, 2024Updated 2 years ago
- Fast Laplacian estimation☆17May 31, 2024Updated 2 years ago
- ☆103Sep 9, 2026Updated last week
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Feb 11, 2023Updated 3 years ago
- Embedding graphs in symmetric spaces☆30Sep 30, 2021Updated 4 years ago
- Sampling and visualising the von Mises-Fisher distribution. An important hyper-spherical distribution.☆17Jun 5, 2020Updated 6 years ago
- ☆16May 2, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- An R package for feature selection in topological spaces.☆11Aug 12, 2021Updated 5 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆136Aug 21, 2024Updated 2 years ago
- A data analysis framework for exoplanet detection☆15Sep 11, 2026Updated last week
- Sandbox for generating visualizations of the bias-variance tradeoff for Machine Learning at Berkeley's blog.☆13Jun 26, 2017Updated 9 years ago
- Predicting accurate building entrance coordinates based on street level imagery.☆18Jan 15, 2026Updated 8 months ago
- ☆13Feb 4, 2025Updated last year
- ☆12Apr 25, 2024Updated 2 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Jun 14, 2019Updated 7 years ago
- Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Mi…☆30Oct 5, 2023Updated 2 years 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.
- A Leaflet plugin for overlaying Transitive.js maps☆11Jan 23, 2017Updated 9 years ago
- A Package for Bayesian inference of expensive likelihoods with Gaussian Processes☆28Updated this week
- Particle-based and nonparametric variational methods for approximate Bayesian inference and Probabilistic Programming☆18Apr 18, 2026Updated 5 months ago
- ☆11Apr 2, 2021Updated 5 years ago
- Bayesian Deep Learning Library☆15Oct 27, 2023Updated 2 years ago
- ☆34May 31, 2019Updated 7 years ago
- Resources for starting the Machine learning and Deep learning.☆10Dec 29, 2020Updated 5 years ago