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
Sorting:
- Python module for adaptive kernel density estimation☆66Feb 28, 2026Updated 3 weeks ago
- Using Spectral Temporal Graph Neural Network model for the major assignment of Time Series Analysis and Forecasting course, with multivar…☆10Mar 27, 2023Updated 2 years ago
- Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting☆14Mar 31, 2025Updated 11 months ago
- ☆19Oct 31, 2023Updated 2 years ago
- Repository for advanced traffic forecasting models integrating GCN, LSTM/Bi-LSTM, and attention mechanisms for improved accuracy, includi…☆26Aug 4, 2024Updated last year
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 6 years ago
- ☆11Oct 6, 2021Updated 4 years ago
- ☆19Jun 29, 2020Updated 5 years ago
- ☆18Oct 13, 2025Updated 5 months ago
- Rehabilitation of people afflicted with elbow joint ailments is quite challenging. Studies reveal that rehabilitation through robotic dev…☆16Nov 25, 2021Updated 4 years ago
- A PyTorch implementation of Parametric UMAP (Uniform Manifold Approximation and Projection) for learning low-dimensional parametric embed…☆38Feb 22, 2026Updated 3 weeks ago
- ☆11Mar 10, 2019Updated 7 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
- Using LSTM ,GNN and GCN for Predicition of Taxi Demand. / 使用LSTM, GNN 和 GCN 解决出租车需求预测问题☆22Jan 16, 2024Updated 2 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
- ☆16Apr 8, 2025Updated 11 months ago
- PyTorch implementation of SNGP as found in https://arxiv.org/pdf/2006.10108.pdf☆17Sep 29, 2024Updated last year
- SDK of sEMG function of matlab☆18Feb 14, 2017Updated 9 years ago
- clock_plot provides a simple way to visualize timeseries data, mapping 24 hours onto the 360 degrees of a polar plot☆15Apr 5, 2022Updated 3 years ago
- A collection of Black Box Variational Inference algorithms implemented in an object-oriented Python framework using Autograd.☆11Sep 7, 2018Updated 7 years ago
- Stochastic Gradient Hamiltonian Monte Carlo☆12Nov 16, 2019Updated 6 years ago
- Kernel Density Estimation and (re)sampling☆63May 22, 2023Updated 2 years ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Sep 26, 2022Updated 3 years ago
- Some methods to sampling data points from a given distribution.☆17Jul 16, 2018Updated 7 years ago
- Various estimators of the infinite dimensional exponential family model☆16May 17, 2017Updated 8 years ago
- Wrapper around MLForecast for more plug and play forecasting☆10Oct 23, 2023Updated 2 years ago
- Intuitive symbolic interface for constrained optimization problems. Write natural Python, get automatic gradients and solvers.☆24Mar 13, 2026Updated last week
- Adaptive MCMC and CMA-ES Python code☆14Sep 19, 2019Updated 6 years ago
- Multi-output Gaussian process regression via multi-task neural network☆14Dec 3, 2019Updated 6 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Apr 22, 2022Updated 3 years ago
- Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.☆10Updated this week
- 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…☆13Aug 15, 2021Updated 4 years ago
- Multi-fidelity Gaussian Process Regression☆13Mar 22, 2023Updated 2 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆27Sep 17, 2014Updated 11 years ago
- Optimizing Hyperparameters with Conformal Quantile Regression☆10May 22, 2023Updated 2 years ago
- Foundation Model for Probabilistic Electricity Price Forecasting☆22Sep 29, 2025Updated 5 months ago