Kernel Density Estimation: accelerated, multi-dimensional, and adaptive bandwidth
☆14Aug 17, 2023Updated 2 years ago
Alternatives and similar repositories for kde
Users that are interested in kde are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Using Spectral Temporal Graph Neural Network model for the major assignment of Time Series Analysis and Forecasting course, with multivar…☆10Mar 27, 2023Updated 3 years ago
- ☆19Oct 31, 2023Updated 2 years ago
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 6 years ago
- ☆16Apr 25, 2019Updated 7 years ago
- ☆19Jun 29, 2020Updated 5 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- A Bayesian uncertainty quantification toolbox for discrete and continuum models of granular materials. Note that this repository contains…☆12Sep 20, 2023Updated 2 years ago
- Sparse Neural Network Tools☆12Jul 15, 2024Updated last year
- Spectral-normalized Neural Gaussian Process (SNGP) implementation in PyTorch☆10Jan 19, 2022Updated 4 years ago
- Bayesian neural nets trained with Hamiltonian Monte Carlo☆10Sep 28, 2018Updated 7 years ago
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆17Jul 25, 2024Updated last year
- This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…☆12Sep 23, 2023Updated 2 years ago
- This is the code of QQLMPA, which is proposed in <A quasi-opposition learning and Q-learning based marine predators algorithm for global …☆11Jun 8, 2022Updated 4 years ago
- ☆16Apr 8, 2025Updated last year
- A collection of Black Box Variational Inference algorithms implemented in an object-oriented Python framework using Autograd.☆11Sep 7, 2018Updated 7 years 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.
- Stochastic Gradient Hamiltonian Monte Carlo☆12Nov 16, 2019Updated 6 years ago
- Kernel Density Estimation and (re)sampling☆63May 22, 2023Updated 3 years ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆17Sep 26, 2022Updated 3 years ago
- Various estimators of the infinite dimensional exponential family model☆16May 17, 2017Updated 9 years ago
- Wrapper around MLForecast for more plug and play forecasting☆10Oct 23, 2023Updated 2 years ago
- Adaptive MCMC and CMA-ES Python code☆14Sep 19, 2019Updated 6 years ago
- Black Box Variational Inference☆14May 22, 2015Updated 11 years ago
- Multi-output Gaussian process regression via multi-task neural network☆14Dec 3, 2019Updated 6 years ago
- ☆12Feb 16, 2024Updated 2 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.
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆19Apr 22, 2022Updated 4 years ago
- A small wrapper to do Beta Boosting with XgBoost☆15Oct 26, 2021Updated 4 years ago
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆14Aug 15, 2021Updated 4 years ago
- Robust piecewise regression☆14Jan 23, 2026Updated 4 months ago
- Multi-fidelity Gaussian Process Regression☆12Mar 22, 2023Updated 3 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆27Sep 17, 2014Updated 11 years ago
- Separable shape tensors for aerodynamic design☆18Mar 11, 2026Updated 2 months ago
- opensource 88code desktop☆52Oct 20, 2025Updated 7 months ago
- Orthogonal Quantile Regression☆11Oct 21, 2021Updated 4 years 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.
- B-PINN - Jax - HMC tutorial☆21Mar 31, 2023Updated 3 years ago
- A revival and update of Runar Tenfjord's NURBs toolbox for Python☆18Dec 15, 2012Updated 13 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Jan 4, 2015Updated 11 years ago
- Run commands against code blocks in Markdown or reStructuredText documentation☆26Updated this week
- Fast moving quantile filters that sort data within moving window☆14Oct 23, 2025Updated 7 months ago
- This repo contains the code of Transitional Markov chain Monte Carlo algorithm☆24Oct 26, 2022Updated 3 years ago
- Evolution of Discrete data with Reinforcement Learning☆13Dec 8, 2019Updated 6 years ago