Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms
☆15Apr 3, 2022Updated 3 years ago
Alternatives and similar repositories for CDE-diagnostics
Users that are interested in CDE-diagnostics are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Neural networks for conditional density estimation☆14May 9, 2020Updated 5 years ago
- Repository for course offered by the Stack Club☆14Jan 13, 2023Updated 3 years ago
- A fast, differentiable, and extensible public BBN code☆15Mar 6, 2026Updated 3 weeks ago
- Redshift Assessment Infrastructure Layers☆14Aug 1, 2023Updated 2 years ago
- Exploring how ChatGPT can be used to accelerate research in cosmology.☆12Dec 12, 2022Updated 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 and start building anything your business needs.
- A Jax wrapper for cudaKDTree☆11Sep 26, 2025Updated 6 months ago
- ☆33Feb 2, 2022Updated 4 years ago
- Returns the state of the universe☆10Oct 8, 2019Updated 6 years ago
- PRObabilistic Value-Added Bright Galaxy Survey (PROVABGS)☆18Aug 12, 2024Updated last year
- Semantic alignment of astronomical data with natural language using multi-modal models. (Jax) Code associated with https://arxiv.org/abs/…☆17Oct 18, 2024Updated last year
- Fast discrete distributions clustering using Wasserstein barycenter with sparse support☆12Nov 20, 2018Updated 7 years ago
- Generic API for dispatch to Pyro backends.☆16Feb 13, 2022Updated 4 years ago
- Nearest Neighbor Kernel Conditional Density Estimation☆11May 9, 2020Updated 5 years ago
- Bayesian Uncertainty Quantification by Deep Generative Model☆19Jul 22, 2020Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Implementation of the paper 'Stochastic Wasserstein Barycenters'☆11Oct 17, 2018Updated 7 years ago
- Streamlit app for galaxy similarity search☆25Jul 13, 2022Updated 3 years ago
- General analysis tools for the DC2 Data Set.☆26Jul 18, 2024Updated last year
- Repository with the code of "HNPE: Leveraging Global Parameters for Neural Posterior Estimation"☆14Mar 18, 2024Updated 2 years ago
- pythonic ggplot image combinations https://benjaminleroy.github.io/cowpatch☆10Feb 12, 2023Updated 3 years ago
- Meeting repo for likelihood free inference meeting☆14Oct 6, 2022Updated 3 years ago
- Functions for distance matrix objects in R.☆14Mar 9, 2026Updated 2 weeks ago
- Things that make me feel productive☆15Oct 9, 2022Updated 3 years ago
- Prism themes for plotnine, inspired by ggprism.☆17Aug 13, 2025Updated 7 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- R package to compute distribution-free prediction bands using density estimators☆11Jul 26, 2021Updated 4 years ago
- Quantile Parametrization for probability distribution functions module☆12Jan 26, 2026Updated 2 months ago
- Just a personal R Package for Demonstrative Purposes☆11Jan 30, 2018Updated 8 years ago
- Simulation-based (likelihood-free) inference customized for astronomical applications☆29Nov 4, 2024Updated last year
- Sparse representation of HEALPix maps in Python☆15Mar 17, 2026Updated last week
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆20Mar 10, 2024Updated 2 years ago
- JAX port of lenstronomy, for parallelized, GPU accelerated, and differentiable gravitational lensing and image simulations.☆20Mar 16, 2026Updated last week
- This repository is for DP0 delegates to contribute and share DP0.2-related materials (e.g., code, analysis tools, tutorials).☆14Dec 18, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Tools to create blend catalogs, produce training samples and implement blending metrics☆32Jul 29, 2025Updated 7 months ago
- Differentiable strong lens modelling on CPUs and GPUs☆28Mar 9, 2026Updated 2 weeks ago
- Configuration, production, validation specifications and tools for the DC2 Data Set.☆11Jun 28, 2022Updated 3 years ago
- Likelihood-Free Frequentist Inference☆21Mar 20, 2026Updated last week
- Orthogonal Quantile Regression☆11Oct 21, 2021Updated 4 years ago
- Debunking the R vs. Python Myth☆12Aug 26, 2020Updated 5 years ago
- Transformer-guided diffusion for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141☆25Jan 3, 2024Updated 2 years ago