Code for Kernel Adaptive Metropolis-Hastings
☆33Jan 4, 2015Updated 11 years ago
Alternatives and similar repositories for kameleon-mcmc
Users that are interested in kameleon-mcmc are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Stochastic Gradient Hamiltonian Monte Carlo☆12Nov 16, 2019Updated 6 years ago
- Black Box Variational Inference☆14May 22, 2015Updated 11 years ago
- ☆12May 12, 2025Updated last year
- Adaptive MCMC and CMA-ES Python code☆14Sep 19, 2019Updated 6 years ago
- Python package for inference with Gaussian processes☆11Mar 25, 2015Updated 11 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.
- Supporting material for "Deep Stochastic Radar Models," submitted to IV 2017☆17May 1, 2019Updated 7 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Feb 15, 2020Updated 6 years ago
- ☆12Jul 16, 2023Updated 2 years ago
- Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).☆22May 3, 2020Updated 6 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Jul 17, 2020Updated 5 years ago
- ☆11May 4, 2015Updated 11 years ago
- ☆11Oct 6, 2021Updated 4 years ago
- A Bayesian uncertainty quantification toolbox for discrete and continuum models of granular materials. Note that this repository contains…☆12Sep 20, 2023Updated 2 years ago
- Look Ahead Hamiltonian Monte Carlo☆31Mar 29, 2015Updated 11 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.
- Multi-object tracker using structured graphs, as proposed in the CVIU paper☆10May 23, 2018Updated 8 years ago
- From our paper "OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene" in ACM Multimedia 2018.☆11Apr 9, 2019Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Jun 21, 2019Updated 7 years ago
- Space Object RADar SIMulator☆12May 31, 2020Updated 6 years ago
- ☆12May 7, 2015Updated 11 years ago
- Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.☆14Sep 9, 2015Updated 10 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
- Hyperparameter optimization with approximate gradient☆65Mar 23, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Bayesian neural nets trained with Hamiltonian Monte Carlo☆10Sep 28, 2018Updated 7 years ago
- The uncompromising Jupyter notebook formatter.☆14Jan 26, 2024Updated 2 years ago
- SmallK: very fast data clustering tools☆13Apr 3, 2019Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Apr 19, 2016Updated 10 years ago
- 1-step Q Learning from the paper "Asynchronous Methods for Deep Reinforcement Learning"☆12Mar 13, 2017Updated 9 years ago
- Code reading history☆10Oct 20, 2021Updated 4 years ago
- Python implementation of PCA on graph ECTD☆12May 29, 2024Updated 2 years ago
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆17Jul 25, 2024Updated last year
- Continuous relaxation of Random Regression Forests☆16Mar 25, 2018Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 5 years ago
- 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
- IDE backend for Julia☆27Dec 8, 2015Updated 10 years ago
- Class project for COMP-781, Robotics. This is a CUDA-based collision detector for motion planning.☆13Apr 29, 2019Updated 7 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆16Jun 22, 2019Updated 7 years ago
- Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App☆16Jun 30, 2022Updated 4 years ago
- DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy☆14May 20, 2018Updated 8 years ago